📍London | UK remote | 💰 £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits | Hear from the team

About our Data Science Team:

We're looking for a Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How we hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into one product squad alongside engineers, designers, marketers, product managers etc.

Your day-to-day   

• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
• Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

💰 £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

We are looking for a commercially astute and data-driven Commercial Finance Manager to join our UK and Ireland finance team. This isn’t just a "number crunching" role; you’ll be the key partner to our operational leaders.

The ideal candidate will be someone who can get to the root of how our operation runs to ensure every decision is backed by sound commercial logic. You’ll need to be comfortable challenging senior business leaders, and adept at turning results into the strategic insights necessary to turn operational complexity into a competitive advantage.

This role offers broad exposure across multiple business units and entities, where there is significant scope to help shape the future of how we help serve Dinnertime to our millions of customers worldwide!

Key Responsibilities:

• Stakeholder Partnership; Build strong relationships with the Ops Directors & senior managers across our fulfillment and logistics teams, understanding their function and becoming a trusted advisor.
• Insight Generation; Interpret complex data sources to produce meaningful business insights. You won't just report the ‘what’; you will explain the ‘why’ and the ‘what next?’
• Business Casing; Evaluate new cost saving initiatives, commercial partnerships and revenue opportunities with a targeted focus on driving ROI at all times.
• Forecasting/Budgeting; Work closely with both local and international stakeholders to generate reliable, data driven forecasts whilst proactively challenging assumptions and driving continuous improvement at every turn.
• Month End & Board Reporting; Lead the Month End accounting process for operations, ensuring a high level of accuracy in our management reporting and helping stakeholders understand their performance through data.
• Mentoring; Support in the coaching and development of our senior financial analyst, providing direction and leadership to them in their career development.
• Continuous Improvement; Being an advocate for challenging the status quo, relishing the challenge of optimising workflows and creative in your approach to maximising time spent on value-add topics.

What we’re looking for:

• A qualified accountant with 2-3 years of PQ experience
• Experience working within physical product-based businesses (e.g. manufacturing, operational environments, FMCG, or similar industries) would be advantageous
• Someone highly commercial with strong financial literacy and proven experience in a fast paced environment managing simultaneous deadlines.
• Experience of designing, developing or maintaining structured scenario planning models and effectively using them to deliver tangible business outcomes
• A continuous improvement mindset where you strive under the challenge of trying to continually improve the financial or operational performance & efficiency.
• An aptitude for managing large/complex datasets – a good working knowledge of Microsoft Office/Google workspace tools is required, whilst SQL exposure would be advantageous

You are:

• Curious and proactive self-starter who seeks to understand concepts deeply and continuously improve processes
• A fast learner with strong problem-solving skills and financial acumen, able to work independently with minimal direction
• An effective communicator and stakeholder manager, skilled at building strong relationships and influencing outcomes
• Detail-oriented, accuracy-focused, and comfortable thriving in fast-paced, evolving environments
• Comfortable working with ambiguity and at pace - the problem may not always be clearly defined but you are able to identify what will add value and then deliver solutions.

What you will get in return:

• 70% off HelloFresh or Green Chef boxes
• Company pension scheme
• Gym membership
• Bupa private medical insurance (including dental & family cover options)
• Mental health first aiders and an employee assistance programme
• Dog friendly office! (London site only)
• Nursery support scheme
• Cycle to work scheme
• Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

We are looking for a commercially savvy, data-driven Senior Finance Analyst to join our UK and Ireland finance team. You will be integral in evolving, transforming and streamlining our ways of working across the breadth of finance. You will leverage your technical expertise and interest in emerging technologies (e.g. SQL, AI) to dive deep into complex datasets, turning raw data into strategic insights and answering the key questions that drive our executive decision-making.

Key Responsibilities

• Weekly/Monthly Reporting; Take ownership of generating timely and reliable weekly performance reporting & insights for the UK Management Board with a focus on actionable insights, analysis & commentary.
• Finance Transformation: Collaborate & identify inefficiencies in current financial workflows and lead initiatives to streamline/automate manual processes, reducing time spent on routine reporting across the team and improving time cycles for month-end and reporting.
• Month End Support; Supporting the Month End accounting process, ensuring a high level of accuracy in our management reporting and helping stakeholders understand their performance through data.
• Insight Generation: Interpret complex data sources to produce meaningful business insights. You won't just report the what; you will explain the why and the what next.
• Stakeholder Partnership: Act as a bridge between Finance and Tech/Data teams, translating business requirements into technical specifications while getting exposure to and influencing data infrastructure & pipelines.
• Forecasting/Budgeting: Work closely with both local and international stakeholders to generate reliable, data driven forecasts while ideating on new, high impact data assets required for success.

You Have;

• 2+ years of experience working with large data sets, complex models and experience in an analytical field.
• Experience working within physical product-based businesses (e.g. manufacturing, operational environments, FMCG, or similar industries) would be strongly preferred, particularly where finance and operational data intersect.
• A track record of designing, developing and maintaining various financial and non-financial data sets/models using SQL (python would be advantageous) and sophisticated Excel/GoogleSheet/Google AppScripts tools. Exposure to software (or equivalent software) such as Databricks, Snowflake, N8N, Workday Adaptive Planning, Tableau etc would also be an advantage.
• Experience developing advanced analytics with an exceptional ability to interpret and present financial and non-financial data in a way that is digestible for non-technical stakeholders.
• A continuous improvement mindset where you strive under the challenge of trying to continually improve the financial or operational performance & efficiency through the use of data & analytics.
• An intrinsic determination to solve a problem once it is identified using a scientific or well thought through, logical approach.
• Strong financial literacy and an inherent interest in business performance driving performance.

You are;

• Curious and proactive self-starter who seeks to understand concepts deeply and continuously improve processes
• A fast learner with strong problem-solving skills and financial acumen, able to work independently with minimal direction
• An effective communicator and stakeholder manager, skilled at building strong relationships and influencing outcomes
• Detail-oriented, accuracy-focused, and comfortable thriving in fast-paced, evolving environments
  
  

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with your recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. 

If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Joining our Customer Data Science team, you’ll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You’ll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale.

What we expect from you

• Experience designing and delivering production-grade analytical Python solutions
• Experience working with relational databases, and SQL-like operations
• Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial
• Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
• Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards, and release processes

Responsibilities

• Design, build and own standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
• Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches
• Translate stakeholder requirements into robust, production-ready solutions
• Collaborate cross-functionally and mentor junior team members to raise engineering capability and impact

HOURGLASS COSMETICS — Data Analyst (Hybrid)

Connected by creativity and driven by purpose. Hourglass Cosmetics is a vegan and cruelty-free beauty brand, redefining luxury cosmetics with high-performance products, innovative formulas, and award-winning franchises. Recognized by Forbes, Fast Company and Time Magazine as one of the most inventive beauty companies, Hourglass leads the industry with its breakthrough products and its commitment to animal welfare. Founded in 2004, Hourglass is globally available in 32 markets and over 4,600 doors including Sephora, Ulta, Neiman Marcus, Selfridges, Space NK and more. Hourglass became part of the Unilever Prestige division in 2017. Discover more about the Hourglass brand story and mission on our website hourglasscosmetics.com

We are seeking a Data Analyst to improve data quality, structure, and analytical processes across the organization. This role is central to enabling reliable reporting and better decision-making — particularly in support of finance, demand planning, commercial teams, and cross-functional operations.

This person will own how data flows between systems, identify gaps and inefficiencies, and build scalable datasets and reporting infrastructure. As Hourglass continues to grow, the accuracy and integrity of our data is foundational to how we plan, allocate resources, and serve our retail and DTC channels effectively.

In the first 90 days, this person will have developed a clear understanding of Hourglass’s data landscape, identified the most critical data quality gaps, and established themselves as a trusted partner to Finance, Demand Planning, Commercial Sales, and IT. Within six months, they will have improved the reliability of key reporting outputs and begun systematically automating and documenting recurring processes.

WHAT YOU DO:

• Identify and resolve data quality issues, inconsistencies, and manual inefficiencies across the organization.
• Build and maintain clean, well-structured data tables used for reporting and downstream analysis.
• Own and evolve the Power BI environment, including data models, dashboards, and reports used by leadership and cross-functional teams.
• Support demand planning and commercial finance functions by building and maintaining reliable datasets for forecasting, sell-through analysis, and inventory reporting.
• Review and understand existing data sources, structures, and workflows across systems, including ERP and retail planning platforms.
• Automate and optimize recurring data and reporting processes, identifying opportunities to streamline and scale operations.
• Perform validation, reconciliation, and root-cause analysis when data issues arise, ensuring accuracy and consistency across sources.
• Enhance and optimize visualizations to improve clarity, usability, and decision-making for stakeholders at all levels.
• Develop and maintain data documentation, data dictionaries, and process guides to ensure institutional knowledge is retained and workflows are reproducible.
• Manage multiple concurrent requests and projects, setting clear expectations with stakeholders on timelines and priorities.
• Collaborate with cross-functional teams — including Finance, Demand Planning, IT, and Commercial — to support evolving data needs.
• Perform other job-related duties as assigned.

 YOU’LL LOVE THIS JOB IF:

• You are extremely ORGANIZED: You are not overwhelmed by the thought of tackling multiple tasks at a time. 
• You are DETAIL ORIENTED: You appreciate the importance of having detailed and precise information. 
• You are a strong COMMUNICATOR: You collaborate well with others and communicate findings clearly to non-technical stakeholders. 
• You are ANALYTICAL and PROCESS DRIVEN: You have a strong interest in how data systems are structured.
• You are AGILE: You adapt well to changing needs and priorities and are able to pivot easily to achieve goals and deadlines. 
• You are CREATIVE: You are innovative and forward-thinking in your approach and mindset. 

QUALIFICATIONS:

Required

• Minimum 6 years of experience in data analysis, analytics, or business intelligence.
• Strong SQL skills for querying, transforming, and validating data.
• Proficiency in Excel for data validation, reconciliation, and analysis.
• Experience with Power BI, including data modeling and understanding how data connects across sources.
• Demonstrates practical working knowledge of AI-assisted tools (such as Microsoft Copilot, ChatGPT, or Claude) to support data work, research, and task efficiency — with the ability to use these tools iteratively and critically as part of day-to-day workflows.
• Strong attention to detail and a genuine commitment to data accuracy and integrity.
• Understanding of database concepts and data pipelines.
• Ability to communicate data findings clearly to non-technical stakeholders, including Finance, Commercial, and Operations teams.
• Demonstrated ability to work cross-functionally and manage competing priorities in a fast-paced environment.
• Must be able to work from Corporate Office at least 60% of the time.

Preferred

• Familiarity with ERP or retail planning systems (e.g., NetSuite, SAP, or similar).
• Experience working in a consumer goods, beauty, or retail environment.
• Exposure to demand planning, inventory management, or commercial finance data.

Your application will be stored in our system/CRM/etc. for maximum 1 year after the date of your application. If you don’t want us to keep your details, please inform us by phone at 310-392-7799.

Overview

We’re seeking candidates who bring a combination of strong analytical skills, creativity, and experience in building scalable systems for outbound marketing and digital campaigns. Ideal backgrounds include: Growth Marketing, Digital Marketing, Demand Generation: Experience in content creation and ideating campaigns that drive pipeline growth, with a focus on innovative and scalable marketing strategies. You could also be the first marketers at small startups or at an equivalent technical role like biz ops/strategy with experience building from 0 to 1. 

About the Role

At Verkada, we're known to push traditional boundaries, and our B2B growth efforts are no exception. We’re reinventing Growth here. As a Growth Manager, you’ll be part of a high-performing team with backgrounds spanning investment banking, consulting, marketing, and high-growth startups. What unites us? A shared drive to make a meaningful impact and solve tough problems. In this role, you’ll lead pipeline generation and acquisition strategy for Verkada’s core product suite. You will work closely with sales leadership to shape and scale our go-to-market strategy. This is a highly visible, high-autonomy role that offers the opportunity to directly influence Verkada’s growth in one of our most strategic verticals.

We are committed to a thriving in-office culture. This role requires that you be on-site at our London office near Old St 5 days a week.

What You’ll Do

• Pipeline Generation & Strategy: Develop and execute strategies that drive pipeline growth through digital campaigns and scaled outbound outreach. You’ll be asked execute on new out-of-the-box experiments to deliver, target, and run strategies that drive direct revenue impact
• Scalable Infrastructure: Design and manage a scalable, repeatable framework for automated campaigns. Ensure seamless execution across multiple marketing channels to maximize impact and performance.
• Audience & Data Strategy: Own the data strategy for audience segmentation, intent signal identification, and the optimization of demand capture programs. Leverage data to create highly targeted marketing efforts that drive engagement and conversions.
• Campaign Execution & Optimization: Manage the full lifecycle of marketing campaigns—from planning to execution to performance analysis. Continuously monitor and optimize campaigns, running experiments to improve outcomes and reporting key metrics.
• Cross-Department Collaboration: Work closely with internal teams across data science, marketing development representatives (MDRs), marketing operations, product marketing, and sales to ensure campaign success. Drive alignment on priorities and share insights to refine strategies.
• Performance Monitoring & Insights: Track and analyze key campaign metrics. Regularly communicate insights and learnings across departments to ensure alignment and drive continuous improvement.

What You Bring

• 4-8 years of experience in B2B marketing, biz ops, strategic consulting, a startup or equivalent, highly preferred
• 2+ years of marketing experience or equivalent including B2C marketing
• Demonstrated ability to collaborate cross-functionally with sales, marketing operations and product teams.
• Proficiency in data analysis, knowledge of SQL and Excel preferred.
• Experience managing large-scale marketing campaigns and optimizing performance.
• Digital marketing experience with LinkedIn, Facebook, and Google

UK Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under most plans and 100% for family premiums
• Private medical and dental coverage
• Paid parental leave policy & fertility benefits
• Retirement saving options
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, generous time off, and personal sick time
• Wellness/fitness benefits
• Professional development stipend
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

Principal Engineer

Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:

• Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries 
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
• A track record of understanding, assessing, and embracing new tooling and trends within the software industry
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Successfully led modernization efforts to align legacy systems with short and long-term business needs
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
• Provided mentorship and team support at scale, while sharing knowledge and improving team practices 
• Actively sought out and effectively given feedback
• Collaboratively led stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for:

• Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives 
• Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Driving innovation by proactively surfacing new technical approaches and product solutions
• Leading or initiating formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Contributing to the health of your team and 8th Light’s culture by modelling our Values
• Designing and managing high-level technical roadmaps for large engagements
• Building your network and maintaining relationships with clients and other industry leaders within your domain
• Coaching client engineering teams, transferring knowledge and leveling up practices
• Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization
• Participating in account planning; opportunity identification.
• Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes
• Identifying, mitigating, and resolving blockers to team progress
• Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes
• Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
• Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices.
• Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale.

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• Delivering and advising on enterprise-grade AI systems, including RAG pipelines, vector search, and agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production-ready solutions that empower developers and align with business outcomes.
• DevSecOps & DevOps
• MLOps
• Infrastructure as Code
• Data Engineering: including platforms like Databricks for data processing and analytics.

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

• Our wellness package is designed with the Whole YOU in mind and includes:
• A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Annual financial stipend and time allotment for learning & development
• Coworking support for our global team
• 12 weeks of new parent leave available for eligible employees

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92-818-£116-122 GBP

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

• London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

^#LI-Hybrid

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in London for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426207

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.

We are seeking Software Engineers with deep expertise in C# and .NET to lead the design and development of mission-critical systems across our domain. You will play a key role in shaping technical strategy and driving architectural decisions within a high-performing team. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core financial and order management knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

• Lead the end-to-end delivery of complex software solutions—from requirements gathering and architecture design to development, testing, and production deployments
• Own and drive long-term technical initiatives and architectural improvements across systems
• Collaborate closely with stakeholders to align technical solutions with business goals
• Champion engineering best practices, including CI/CD, automated testing, and scalable design patterns
• Conduct code reviews and provide technical guidance to peers and junior engineers
• Proactively identify and reduce technical debt, improve system resilience, and optimize performance
• Lead incident response and root cause analysis for production issues
• Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Essential

• 3-5 years of professional experience in software engineering with C# and .NET
• Proven experience in architectural design, system scalability, and distributed systems
• Strong knowledge of Microsoft SQL Server, including schema design, query optimization, and performance tuning
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow
• Ability to balance delivery of business value with long-term technical strategy
• Excellent communication and leadership skills, with the ability to influence and drive consensus
• Strong advocate for collaborative development practices and continuous improvement

Advantageous

• Experience with cloud platforms (e.g., Azure or AWS) and containerization (e.g., Docker, Kubernetes)

The Principal Solutions Architect will own the end‑to‑end design of complex customer/prospect solutions built on top of our social media management platform, with a strong focus on integrations, workflows, and measurable business value. This person will act as the bridge between customer‑facing teams (mostly AMs and AEs) and Product & Tech: translating client use cases and operational constraints into robust technical architectures, and turning those architectures into clear, actionable briefs for our product managers and engineering teams. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for remote work. This role is open to applicants located in London, England, United Kingdom and Luxembourg, Luxembourg. In this role, you will report to the Solutions Director.

WHAT YOU’LL DO:

• Participate in strategic client / prospects meetings and discovery workshops with strategic/enterprise accounts to understand business objectives, current tools, and operational constraints.
• Challenge and refine client requirements, uncovering underlying needs and proposing pragmatic solutions grounded in our platform capabilities.
• Articulate complex technical concepts in simple, non‑technical language to senior business stakeholders (CMO, Head of Social, Customer Care, Digital, Data teams).
• Act as a trusted advisor on topics such as social data architecture, governance, workflow design, and integration strategy notably on RFP or RFI. 
• Lead the design of end‑to‑end solutions that leverage our core platform capabilities (publishing, engagement, listening, analytics, governance) and integrate with external systems (CRM, customer care platforms, marketing automation, data warehouses, BI tools, etc.).
• Translate complex integration requirements (APIs, webhooks, SSO, data sync, custom workflows) into user‑centric, value‑oriented solution designs.
• Produce clear architecture artefacts when needed: solution blueprints, sequence diagrams, data flow diagrams, and configuration guides.
• Evaluate feasibility, risks, and trade‑offs of different solution approaches, always balancing speed, robustness, and scalability.
• Translate client and operational needs into structured, actionable briefs for Product and Engineering:
  • Clear problem statements and business context.
  • Detailed functional and non‑functional requirements.
  • Edge cases, constraints, and acceptance criteria.
• Work closely with Product Managers to prioritise requirements, shape roadmaps, and assess build‑vs‑configure‑vs‑integrate options.
• Partner with Engineering to validate technical designs, refine implementation details, and ensure solutions we would be pushing to our clients/prospects are aligned with platform architecture and standards or alternatively set guardrails and manage expectations.
• Provide feedback loops from the field back into the product: recurring patterns, blockers, integration gaps, and opportunities for new capabilities.
• Guide project teams (PS, Customer Success, Partner teams) during implementation as the “design authority” for the solution.
• Review technical configurations and integration setups to ensure they adhere to the agreed architecture and best practices.
• Help define standards, patterns, and reusable assets (templates, reference architectures, integration playbooks) that make future projects faster and more consistent.

WHAT YOU’LL NEED: 

• Extensive years of experience in a relevant role: Solutions Architect, Solutions Engineer, Senior Solutions Consultant, Technical Consultant, or similar in a SaaS / digital platform environment.
• Strong experience with integration‑heavy solutions involving APIs, webhooks, SSO/identity, and data pipelines.
• Experience working with at least some of the following: CRM (Salesforce, Dynamics, HubSpot, etc.), contact centre / ticketing tools (Zendesk, ServiceNow, etc.), marketing automation, CDP/DMP, data warehouses/BI tools.
• Background in social media / digital marketing / customer care platforms is a strong plus, ideally with tools like Hootsuite, Sprinklr, Sprout, Khoros, Brandwatch, Talkwalker, etc.
• Proven track record acting as a bridge between business stakeholders and technical teams, ideally in a role reporting into a Solutions / Professional Services / Customer Success organization.
• Solid understanding of modern web and SaaS architectures: RESTful APIs, webhooks, OAuth/SSO, microservices, event‑driven workflows.
• Ability to read API documentation, reason about data models, and specify integration patterns (batch vs real‑time, push vs pull, error handling, monitoring).
• Comfort discussing technical topics with engineers (data structures, rate limits, performance considerations) even if you are not the one writing production code.
• Familiarity with data concepts: data mapping, normalization, basic SQL or BI concepts, and how social data flows into broader customer data ecosystems.
• Strong ability to translate technical possibilities and limitations into clear business impacts and trade‑offs.
• User and value‑oriented mindset: always able to answer “who is this for, what changes for them, and how do we measure success?”.
• Comfortable working in a fast‑moving environment with evolving requirements; able to iterate quickly while maintaining architectural rigor.
• Customer Focus: Demonstrated desire to proactively help internal/external customers meet their needs
• Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarification and understanding
• Collaboration and Teamwork: working with others to deliver results, meaningfully contributing to the team, being a dependable partner

WHO YOU ARE: 

• Solution seeker. You’re focused on tackling new challenges, solving problems, and moving the business forward—and you don’t wait to be asked.
• Lifelong learner. You have a growth mindset – you’re here to learn, experiment, seek, apply, and provide feedback, share what works with your team, and move on from what doesn’t.
• Resilient adapter. In the face of change and challenges, you bring a thoughtful, calm approach, and a focus on finding the new opportunity.
• Intentional collaborator. You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information.
• Critical challenger. You have the trust in your team to ask difficult questions in order to get to the best end result.
• Active communicator. You listen actively and communicate ideas and information clearly, inclusively, and proactively.
• Integrated thinker. You look beyond your role and responsibilities to understand how your team’s work drives broader organizational goals.
• Accountable owner. You take pride in the work you’re responsible for with a mindset of ultimate accountability and reliability for the outcomes.
• Bar-raiser. You step up to help your team grow and succeed, even when that means going beyond what might be expected.

In all we do, our six guiding principles light the way:

Step Up: Dare to go beyond the expected to achieve greatness. #StepUp

One Team: Make Hootsuite a place we soar together by respecting each other's individuality, building trust, and showing up for the team. #OneTeam #FreeToBeMe

Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed

Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile

Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses

Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies

 Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.

#LI-Remote #LI-IA

Are you a strategic thinker with a talent for solving problems and driving tangible business outcomes?  Do you thrive in roles where you get to obsess over consumer business growth and provide data driven insights? If this sounds like you, then we’d love to chat!

As Strategy & Operations Manager, you are responsible for driving efficient growth by providing data driven support in shaping and optimizing our global growth and marketing strategies. Your focus will be on various consumer topics such as customer acquisition, user activity, user retention, and new verticals adoption, on a global level.

Collaborating closely with Marketing Leadership and various stakeholders across the company, you will have the opportunity to obsess over our consumer growth, identify investment opportunities, and help ensure efficient allocation of spend to maximize our ROI, through rigorous monitoring of our key performance metrics.

Your ability to blend analytical problem-solving with business acumen and creative strategic thinking will be critical in steering our company toward sustained long-term success.

What you’ll be doing

• Collaborate with key stakeholders to drive our Growth and Efficiency OKRs, focusing on areas such as New Customer Acquisition, Retention, User Activity, and Cost Per Acquisition (CPA)
• Evaluate the impact of selected marketing tactics, track our brand performance and develop our marketing funnel strategies (e.g. to improve the awareness and consideration of Wolt)
• Facilitate weekly business review meetings and collaborate daily with Regional Marketing Directors and Regional Heads of Strategy & Planning
• Provide data driven insights for the allocation of our marketing budget across various channels, funnel stages and incentives, both online and offline, in order to optimize the growth of the platform
• Manage global Business Development projects, such as building new investment frameworks and scaling them across the markets
• Lead and coordinate global acceleration initiatives driven by the growth and marketing teams to help ensure consistent execution, impact and follow-up
• Facilitate knowledge exchange and maximize performance by collecting and sharing best practices across different regions and markets

 Our Humble Expectations

• You have 4+ years of work experience within similar industries, consulting, investment banking, technology or related. Experience from e-commerce, digital marketing as well as growth strategy is a plus.
• You enjoy solving problems, you are comfortable with data and have solid analytical skills and are experienced with online analytical tools (SQL a plus)
• You have experience in forecasting, financial planning & budget allocation
• You have an analytical approach when using data to design, develop and execute marketing strategies
• You have excellent Excel and data handling skills
• You have strong attention to detail and ability to own a project, work independently and ask for guidance when needed
• You do not shy away from getting your hands dirty, building and testing - you have prior experience in a fast-moving environment with a strong focus on achieving targets and getting things done
• You communicate clearly and concisely in written and verbal comms and are fluent in English

We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing—from how we plan and create, to how we execute, personalize, and scale.

As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams.

This role goes beyond managing technology—it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization.

The role reports directly to the Senior Director of Growth Marketing & Innovation.

What you’ll be doing

AI Strategy & Marketing Transformation

• Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows.
• Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale.
• Drive the transition from tool-based execution to AI-enabled operating models across marketing functions.

AI Product Thinking & Roadmap Ownership

• Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows.
• Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability.
• Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing.

Agentic AI & Workflow Automation

• Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization.
• Ensure solutions are embedded into real workflows—not standalone tools.
• Continuously identify and scale automation opportunities across the organization.

Cross-Functional Leadership

• Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions.
• Ensure alignment between marketing needs, technical capabilities, and long-term system architecture.
• Influence without direct authority, driving execution through strong cross-functional collaboration.

AI Adoption & Enablement

• Own the global adoption of AI solutions across Marketing.
• Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage.
• Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities.
• Drive cultural change toward AI-first ways of working.

Governance, Quality & Compliance

• Ensure AI solutions meet standards for quality, consistency, and brand alignment.
• Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements.
• Define guardrails, escalation paths, and approval processes for AI-driven workflows.

Vendor & Ecosystem Strategy

• Evaluate and manage external AI tools, platforms, and partners.
• Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity.
• Maximize value from vendors through structured evaluation and performance management.

Our humble expectations

• 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments.
• Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions.
• Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands-on in system configuration or engineering
• Hands-on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows.
• Experience working cross-functionally with Product, Engineering, Data, and Analytics teams.
• Proven ability to operate in ambiguous environments and build structure where none exists.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience building or leading small, high-impact teams.
• Passion for AI innovation and its application to real-world operational challenges.

Nice to have:

• Experience with marketing platforms (CRM, automation, ad tech)
• Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems
• Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust) 
• Basic data fluency (e.g., SQL or analytics tools)

What we offer

This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won’t just be managing existing software; you’ll be the strategic architect responsible for moving us away from manual, "copy-paste" work toward a smart, automated system powered by AI and real-time data.

You will have the mandate to bridge the gap between Marketing, Product, and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it’s building a marketing engine to win back millions of users or launching ML-powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible.

If you want a high-ownership role where you can solve real structural problems and lead a team of technical experts in a fast-paced, global environment, this is it.

Next steps

Our hiring process prioritizes quality over speed to ensure we find the right long-term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take-home case study presentation, concluding with a final value-fit conversation.

About the Team

The GTM Systems & Tools team at Mixpanel helps the Sales, Marketing & Finance teams execute their global and regional strategies through:

• Maintaining a robust, trustworthy & scalable CRM system
• Automating key workflows that drive efficiency
• Identifying, proposing & supporting tools that fit our overall GTM strategy and data architecture

This team sits under the GTM Org and works very closely with the growth & data teams to help achieve our broader architecture & vision.

About the Role

This is a hybrid role based out of London. As a Sales Systems Engineer, you will be a technical partner to our stakeholder teams and be involved in the full software development life cycle starting from understanding the business needs/problems, translating them into technical requirements, identifying solutions, executing on them, creating and testing user stories and following through until the business problem is solved. This person must be comfortable communicating with various teams and stakeholders to understand business problems and elicit requirements. This is a critical role for Mixpanel at this stage of our growth, directly impacting our ability to meet our revenue goals.

We're Looking For Someone To

• Design and develop secure, scalable technical solutions on the CRM (Salesforce) platform using out of the box automations such as Flows, validations, and security settings
• Provide technical guidance to key stakeholders for new projects, enhancements, and bug fixes related to solutions being delivered on the Salesforce platform
• Maintain strong knowledge of Salesforce system architecture and development best practices
• Assist in increasing the efficiency of our GTM teams and in scaling our GTM stack (Co-pilot, Clari, Outreach, Customer.io, LeanData, Hubspot) for rapid growth
• Provide ongoing support and management of SFDC
• Function as the go-to person for enhancement requests and inquiries; Coordinate updates, modify fields and workflows, etc as needed
• Support day-to-day management of Salesforce configuration – customizing core architecture as well as profiles and user permissions
• Support day-to-day management & execute changes of our lead routing/territory management system
• Drive data quality and enrichment projects across the systems
• Own the integrity of data at all stages in our GTM stack
• Manage enrichment vendors, optimizing for data integrity and accuracy
• Work with internal teams to establish processes that improve the data integrity of all objects; define best practices to help build increased seller productivity and SFDC hygiene

Minimum Qualifications

• 3+ years experience in supporting full-stack solutions using Salesforce
• Experience in Agentic workflows + leveraging AI to increase efficiency 
• Proficient in requirements gathering, documentation, and user testing
• Experience in Salesforce customization and automation (Flows, Validation rules, Approval process)
• Solid understanding of Salesforce platform capabilities, features, and best practices
• Skilled in leveraging CPQ tools to optimize sales workflows and pricing models
• Salesforce Certified Administrator
• Should be a creative, self-starting, fast-learning, detail-oriented team player who thrives with multi-tasking in a fast-paced environment.
• Experience with data cleansing & data enrichment projects
• Experience working with LeanData or related tools for lead routing, territory management

Bonus points if you

• Salesforce Certified Advanced Administrator
• Salesforce Sales Cloud Certified
• Start-up SaaS and rapidly expanding sales organization experience strongly preferred
• Proficient with data warehouses, SQL & other analytical tools (Fivetran, Hightouch)
• APEX Experience 
• Hubspot certification 

#LI-Hybrid

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

• Track record of being detail-oriented and thorough
• You excel in problem solving and researching large datasets to resolve complex issues
• You have a collaborative attitude that lends itself to cross-team customers and projects 
• You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
• Experience in Python strongly preferred 
• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment

London/UK Remote | 💰£59,500 - £70,000 (depending on experience) + Incentive Awards tied to your performance + Benefits  ✨

Our Model Oversight team⭐

The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Operations and Finance to help Monzo grow safely. We’re looking for someone (maybe you?) to help ensure the Fincrime/Fraud models we use are not only good for Monzo but what's best for our customers.

🔑You’ll play a key role by...

• Perform independent model validations of FinCrime/Fraud models using proportionate modelling techniques depending on the level of complexity applied.
• Write clear and impactful model validation reports and present the findings in relevant committees. 
• Review of any FinCrime/Fraud model changes and provide recommendations to first line teams to ensure the models remain fit for purpose. 
• Build relationships with first line of defence Fincrime/Fraud modelling teams and wider risk teams to support the embedding of the model risk framework (e.g.  good maintenance of the model inventory and adhering to issue management processes) and an understanding of model validation practices to help Monzo grow safely. 
• Support team lead in reviewing ongoing model performance monitoring to ensure the  FinCrime/Fraud models are performing within risk thresholds and providing support to the  FinCrime/Fraud model development team when further action is required.
• Supporting the broader Model Oversight team with model validation activity in other disciplines (Financial, Operational and Credit) to manage peak demand and utilising areas of specific knowledge.
• Research and learn latest modelling and validation techniques
• Support the effective operation of the Model Risk Oversight Committee as a regular attendee, contributing to the group discussion to improve model risk management.
• Support the promotion and embedding of a strong risk culture, making risk meaningful and relevant to everyone at Monzo. You will share best practice that is easy for everyone to understand.

🤩 We’d love to hear from you if… 

• You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo
• You are self-motivated and thrive in a fast-paced environment
• You have great attention to detail while keeping an eye on the big picture
• You are a great communicator, able to articulate complex problems
• You can provide effective challenge whilst building strong, respectful relationships
• You are keen to grow your knowledge in both business and technology

And, from a technical and knowledge perspective, you should have:

• Experience in developing and/or validating any of Financial Crime, Fraud, Credit, Interest Rate, Liquidity, Regulatory capital, Stress testing and/or forecasting models

• In-depth knowledge of statistical techniques for management of risks
• Experience of managing a modelling project through its full lifecycle
• Strong technical skills such as SQL or Python
• Working knowledge of machine learning models: gradient boosted trees, etc
• If possible, some understanding of some of the following:
• Customer Risk assessment controls at point of Current Account application
• Transaction Monitoring controls
• Financial Crime and Fraud Typologies
• Experience in transaction driven business or similar industry
  
  

  The Interview Process:

  Our interview process involves three main stages: 

  1. Recruiter Call (30mins)
  2. Initial Call (30 mins)
  3. Final stage x3 a take home task, role specific interview and a behavioural interview

  Our average process takes around 3-4 weeks but we will always work around your availability. 

  🙌What’s in it for you

  💰£59,500 to £70,000 (depending on experience) + Incentive Awards tied to your performance + benefits

  📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)

  ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

  📚£1,000 learning budget each year to use on books, training courses and conferences.

  ➕ Plus lots more! Read our full list of benefits.

  #LI-TK1  #LI-Remote

So, what’s the role all about? 

The Senior Automation Engineer develops tests and maintains the NiCE CXone software platform. Key responsibilities include all tiers of the NiCE CXone technology, including (but not limited to) Test design and test Strategy for NiCE CXone products and features test automation, code reviews, resolving defects encountered during the QA cycle, supporting the production environment, and assisting other developers in a team environment utilizing agile development processes. 

How will you make an impact? 

• Serves as the senior QA professional in the R&D group
• Committed to the quality of the released content
• Reviewing new designs, challenging them to detect potential quality concerns, and proposing ways to address them
• Take an active role in-process inspection and improvement
• Actively track the team’s tasks, analyze the testing needs and define QA activities and ownership
• Plan, define and execute tests as part of the team’s QA related activities
• Continuously analyze and challenge existing testing coverage (manual and automatic tests)
• Monitor the test and production environments
• Write and maintain E2E automated tests

Have you got what it takes?

• At least 4 - 7 years of experience in QA/Automation positions
• The wide perspective of complex product solutions (business, technical, architecture)
• Experience in test design and execution for complex systems (manual and automatic). Deep understanding of QA methodologies
• Comprehensive experience working in an Agile development process
• Hands-on experience in Playwright, Java/JS or other OO language. Experience with writing SQL queries
• Fluent in English
• Team player
• Experience with AWS
• Experience with SDLC of SaaS products
• Hands-on experience with automated testing tools both for UI and APIs testing

Enjoy NiCE-FLEX! 

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 9630
Reporting into: Director, Engineering.
Role Type: Individual Contributor.

#LI-Hybrid

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Join our global Technology team as a Regulatory Reporting Business Analyst in London, supporting the delivery of regulatory reporting solutions, with a primary focus on U.S. regulatory requirements.

Your future role within QRT includes:

• Leading Business analysis across Regulatory Reporting and Compliance Technology workstreams, focused on U.S. regulations
• Translating regulatory requirements into business requirements, data mappings, and specifications for development
• Partnering with Technology teams through build, testing, and implementation to ensure regulatory intent is delivered
• Working closely with Compliance through to final sign-off
• Supporting U.S. regulatory reporting obligations and related change initiatives
• Coordinating across Technology, Operations, Trading, and Compliance under regulatory deadlines
• Supporting UAT, validation, and ongoing enhancements
• Assisting with incident investigation and remediation to ensure reporting accuracy

Your present skillset:

• 8+ years’ experience as a Business Analyst within Regulatory Reporting or Compliance Technology, with a strong understanding of trade and transaction reporting, including valuations
• Strong experience translating regulatory requirements into data mappings and system specifications, with working knowledge of SQL for data analysis
• Hands-on experience with FIX protocol and message structures is essential
• Exposure to U.S. regulatory reporting requirements
• Experience operating in time-critical environments, with strong stakeholder management and communication skills
• Experience with regulatory reporting vendors or trade repositories, and knowledge of OTC derivatives, equities, or FX data flows would be advantageous
• Exposure to buy-side or hedge fund environments and familiarity with Agile tools such as JIRA and Confluence is beneficial
• Ability to travel to the U.S. if required

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Start date: Immediate

Location: London

The Role

We are looking for an Associate Product Marketing Manager (APMM) who will own product marketing responsibilities for a given technology domain. You will share responsibility with Product Managers (PM) to ensure users derive maximum value from our technology. This includes collaborating closely with Product Managers and Product Analysts on upcoming initiatives, from pre-beta through to post-release. You will own release planning, including communications, educational content creation, and post-release feedback collection. You will create excitement and awareness for upcoming features within your relevant user base and obsessively drive your features’ contribution to AlphaSights’ overall success. This team sits within our product organization and the role reports to a Lead Product Marketing Manager.

What You Will Do

• Build Product Domain Expertise: Work closely within specific product areas to gain an in-depth understanding of their objectives, challenges, opportunities, and user base, acting as a constant bridge between the Product team and its stakeholders. You will become an expert in your domain area and field questions about technical functionality, while also being able to clearly articulate the business impact of upcoming changes.
• Go-to-Market Planning and Leadership: Spearhead the design and execution of product launch strategies, working in tandem with your product teams to ensure a cohesive and impactful introduction of new products. You’ll ensure a seamless transition from product development to launch and adoption, using learnings from previous releases to inform the strategy and communications for upcoming ones.
• User Education: Develop and execute user education plans, including digital walkthroughs, live demos, and written resources. Create content and training for relevant upskilling.
• Cross-functional Collaboration: Collaborate with teams both within and outside the technology team and be viewed as an authoritative figure for communicating product functionality and defining release strategies.
• User Feedback Collection and Synthesis: Implement structured processes for collecting, analyzing, and acting on user feedback to inform product iterations and enhancements. Work effectively with Product Managers to ensure product development is closely aligned with user needs and experiences.
• Ongoing Adoption Strategies: Use qualitative and quantitative insights to create and implement strategies for ongoing product adoption and identify opportunities for increasing user value and satisfaction. Collaborate with Product Analytics to develop adoption metrics for your products that you regularly track and use to inform your priorities.
• Data Literacy: Think critically with your Product Managers about which data tracking may be important to augment release planning and measure impact and adoption. Understand the use cases for different data tracking applications and work with Product Analytics to build monitoring dashboards that enable you to understand the success of your products. Develop SQL skills to access necessary data points for day-to-day activities and investigations. 

Who You Are

• We do not require prior experience in marketing or product marketing. However prior work experience that demonstrates strong communication, stakeholder management, and analytical thinking skills will be valued. 
• High-Achieving: You have a track record of academic and corporate success and demonstrate strong potential and desire for growth.
• Problem Solver: You thrive in ambiguity and love using your critical thinking skills and curiosity to deeply understand and then solve problems.
• Effective Communicator: You excel at conveying complex product functionality to non-technical audiences in an accessible manner.
• Action-Oriented: You don’t wait to be told what to do. You’re proactive, persistent, and feel comfortable working with and through people to get things done.
• Outcome-Focused: You’re motivated by results and take ownership of moving key business metrics.
• Collaborative & Driven: You believe success is a team effort and bring energy and ambition to everything you do.
• Curious & Creative: You continuously seek better ways to solve problems, drive impact, and improve the user experience.

Technical skills:

• Proficiency in Excel, PowerPoint, Google Suite
• Proficiency in SQL is a plus, but not required

About The Team:

At HelloFresh, we are changing the way people eat forever. We are looking for a Senior Demand Planner to join our Central Planning Team, driving strategic forecasting and technical innovation across the UK and International markets while acting as the operational heartbeat of selected European markets. Seeking a data-savvy pro with strong SQL skills to unlock insights and drive smart decisions!

You will play a pivotal role in our Operations, moving from fragmented local forecasting to a unified, automated, and data-driven global model. You will also own the demand signal that drives every operational decision - from how much food we buy (Procurement) to how many staff we schedule (Production) and how many trucks we book (Logistics).

The Mission:

The Demand Planning team is transitioning from a legacy operating model into a Predictive Intelligence function. Our vision is to evolve from reactive demand estimation to active supply chain shaping, leveraging data to anticipate market shifts, mitigate risk, and optimize operational costs.

You will bridge the gap between legacy operations and predictive intelligence. This role has a critical dual objective:

1. Strategic Architecture & Innovation: Driving the innovation required to architect the standardized forecasting tools, demand simulation frameworks, and future-state processes that will unlock scalable growth across International markets.
2. Operational Execution & Continuity: Ensuring flawless operational continuity for Ireland forecasting, protecting service levels and optimizing costs during this transition.

Ultimately, you will ensure that while we build the next generation of automated planning pipelines, our daily supply chain execution remains agile, accurate, and highly efficient.

What You Will Be Doing:

Strategic Improvement

• Drive Standardization: Establish a unified, model-driven demand planning architecture. You will manage the planning process to strictly limit manual overrides, ensure real-time communication with key stakeholders and proactively take actions to correct the forecast.
• Automated Ecosystem Transition: Drive the shift toward an automated pipeline. Work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base.
• Scenario Modeling & Innovation: Work with Data Science to refine our Confidence Range Forecasts and Scenario Simulations. Build "What-If" scenarios (e.g., “What if we run an aggressive promo in Ireland next week?”) to stress-test operational capacity and mitigate supply chain risk.

Cross-Functional Stakeholder Management (S&OP)

• Lead the S&OP Rhythm: Facilitate the weekly planning cycle with local stakeholders such as Market leadership, Logistics, Production and Procurement. You will shift the focus from simple error reporting to comprehensive risk management and strategic alignment.
• Commercial & Marketing Alignment: Partner with Marketing to align on customer conversions and retention. You will ensure that growth campaigns are accurately reflected in the Expected Demand view before they hit the supply chain.
• Deep Dive Diagnostics: When deviations occur, you will move beyond surface-level metrics. Your role is to explain the key drivers of the variance to provide actionable insights that prevent recurrence.

Operational Forecasting & Plan Ownership

• Drive the Transition to an Automated Ecosystem: Drive the shift toward an automated, robust ecosystem (using tools like Python, Databricks, and Streamlit as examples). You will not just use these tools; you will work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base. 
• Own the Number: Generate and validate daily and weekly demand plans for Ireland. You are the guardian of the Decision-Time forecast, ensuring the plan is accurate at the exact moment Procurement and Production need to act, without relying on rigid timelines but rather on operational readiness.
• Manage Trends & Operational Agility: Monitor changes in trends and the need for quick operational adaptations. You will incorporate performance metrics, not only to track stability but to implement stakeholder discipline, ensuring that changes are communicated promptly and the organization adapts efficiently.

Who You Are:

You are a hybrid: part analyst and planner, part diplomat, and part strategic change agent. You know a demand plan is useless if it simply reports numbers without driving action. You ensure every plan reconciles conflicting cross-functional needs, championing structural transformation through deep insights and a proactive understanding of error and risk.

Must-Haves:

• Experience: 4+ years in Demand Planning, Supply Planning, or Data Analytics, preferably in e-commerce, food retail, or FMCG (short shelf-life/perishable experience is a massive plus).
• Tech Stack: You are ready to leave spreadsheets behind. Proficiency in SQL is required. Experience with Python (pandas, forecasting libraries) and Visualization tools (Tableau/Streamlit) is strongly preferred as we transition to our automated pipelines. 
• Analytical Rigor: You possess strong analytical skills and a problem-solving, forward-looking mindset. You understand how to evaluate performance holistically and are proficient in forecasting techniques.
• Young Market Mindset: You are comfortable with ambiguity. You know how to forecast in environments with limited historical data (like our newer markets) by using proxy data and trend smoothing.
• Project Management & Delivery: You can plan and sequence initiatives across markets, handling ambiguity and frequent reprioritisation. You have a track record of prioritising and landing a roadmap of improvements.
• Risk & Change Management: You proactively anticipate demand and supply risks. You are experienced in proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders to protect service and cost.
• Project & Data Tools: Advanced Excel/Google Sheets skills are essential. You are comfortable using JIRA/Confluence (or similar) for managing backlogs and requirements.
• Quality & Monitoring: Experience with data validation/QA frameworks, alerting systems, and SLA tracking to ensure forecast reliability.

Soft Skills:

• Influence: You can hold your ground with Senior Stakeholders (Head of Operations, Procurement Directors) when challenging their numbers or explaining a forecast miss.
• Clarity: You can translate complex statistical concepts (e.g., "algorithm bias") into business impact (e.g., "we need to buy 10% more chicken").
• Stakeholder Leadership: You possess strong stakeholder management skills, influencing across Marketing, Procurement, Finance, and Tech. You ensure alignment across diverse functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. 

About The Team:

We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.

You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.

What You’ll Do

Build & Automate Forecasting Systems

• Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
• Design dashboards and automated reporting using visualisation tools (e.g., Tableau, Power BI) that give stakeholders self-service access to demand insights.
• Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
• Build “What-If” scenario simulations (e.g., “What if we run an aggressive promo in a key European market next week?”) to stress-test operational capacity and quantify supply chain risk.

Own the Demand Plan

• Generate and validate daily and weekly demand plans for European markets. You are the guardian of the Decision-Time forecast — the plan must be accurate at the exact moment Procurement and Production need to act.
• Monitor trends, seasonality, and promotional impacts. Proactively flag when the plan needs adjusting and communicate changes before they surprise the supply chain.
• Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.

Drive Cross-Functional Alignment (S&OP)

• Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
• Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.
• When deviations occur, go beyond surface metrics: diagnose root causes, quantify impact, and deliver actionable insights that prevent recurrence.

What We Need

Required Technical Skills

• SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.
• Visualisation: Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.
• Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.

Required Domain Experience

• 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.
• Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
• Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
• Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
• Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.
• Strong communication skills: you can present forecast insights, explain variance drivers, and articulate trade-offs clearly to both technical and non-technical audiences, ensuring alignment across functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. 

🏡🏢This is a Hybrid role, the Financial Crime Compliance team working from our London (Moorgate) office 3 days per week.

Financial Crime Compliance at Capital on Tap

The Financial Crime function is responsible for the ongoing management of the company’s Financial Crime policies, procedures and controls. This includes risk assessment and ongoing assurance of AML compliance, business advisory and management of high risk customer and suspicious activity escalations. 

What You’ll Be Doing

You will sit in the 2nd line Financial Crime Compliance team, operating independently from the 1st line FinCrime Operations team. Your job is to provide oversight, challenge, governance and handle escalations from 1LOD that may result in reporting and/or offboarding decisions.

• Support the Head of FinCrime in owning and running Capital on Tap's compliance monitoring programme, designing thematic reviews and control tests that assess whether 1st line financial crime controls are working as intended.
• Maintain and develop AML/CTF policies, procedures, and risk appetite standards — drafting updates in response to regulatory change, monitoring findings, QA output, and internal audit recommendations.
• Support the completion of the business-wide Financial Crime Risk Assessment (FCRA), identifying areas of emerging risk and recommending proportionate controls.
• Review internal UAR referrals from 1st line and other business areas, challenging quality and supporting the MLRO on whether external disclosure to the NCA is appropriate.
• Act as the 2nd line subject matter expert for complex financial crime escalations - including PEPs, sanctions, adverse media, complex ownership structures, and high-risk onboarding - providing a governance view rather than making operational decisions.
• Produce management information and compliance reporting for senior leadership and relevant governance committees.
• Support horizon scanning activity, translating regulatory change into practical impact assessments for the business.
• Coordinate with internal teams on law enforcement enquiries and partner bank requests, ensuring appropriate documentation and oversight.

We’re Looking For 🔎

Required skills:

• At least 3 years operating in a 2nd line financial crime or AML compliance function within a regulated UK financial services firm, particularly focusing on Business customers.
• Demonstrable experience designing or running a compliance monitoring or control testing programme - not just participating in one.
• Strong working knowledge of the UK Money Laundering Regulations 2017, JMLSG guidance, and POCA - applied in practice, not just in theory.
• Experience contributing to or owning a financial crime risk assessment at a business or product level.
• Ability to review SAR quality and challenge 1st line decision-making - SAR writing experience is useful context but not the primary requirement.
• Comfortable presenting findings and recommendations to senior stakeholders and governance forums.
• Sharp analytical thinking and clear written communication - you will be writing reports and policy documents that the business acts on.
• Comfortable working independently and challenging the business constructively when controls fall short.

Nice to have skills:

• Strong presenting skills, able to break complex subject matter down into simple terms.
• Experience with SQL and strong Excel skills.
• Appropriate industry accreditation such as ICA Diploma or ACAMs.

Diversity & Inclusion 🌈
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks
We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:

🏥 Private Healthcare including dental and opticians services through Vitality
✈️ Worldwide travel insurance through Vitality
🎁 Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
👛 Salary Sacrifice Pension Scheme up to 7% match
🏖️ 28 days holiday (plus bank holidays)
📖 Annual Learning and Wellbeing Budget
👪 Enhanced Parental Leave
🚲 Cycle to Work Scheme
🚂 Season Ticket Loan
💬 6 free therapy sessions per year
🐶 Dog Friendly Offices
🍫 Free drinks and snacks in our offices

Check out more of our benefits, values and mission here.

📍 Old Street | 🏢 4 days a week in the office  

The Role 

We're looking for a skilled IT Support Team Lead to be the go-to person for our company's IT support function — someone who combines genuine technical depth with the kind of approachable, can-do attitude that makes people actually want to come to IT for help.

Reporting to the Head of IT Security & Operations, you'll work with the IT support team and wider IT engineers, ensuring our users across multiple sites receive first-class assistance with hardware, software, local networking and everything in between. This means getting hands-on with user account and hardware setups, installations, software upgrades, systems integrations, bespoke business application support and network troubleshooting - while also coaching and developing the team around you.

Previous experience in a formal team lead role isn't essential, but you should be able to demonstrate senior-level capability and a genuine appetite for stepping into a position that leads and mentors others. We're looking for someone who leads by example: technically sharp, calm under pressure, and naturally inclined to mentor and support others.

We're looking for someone who can demonstrate:

• Strong technical knowledge across home and office environments, including hardware, networking, and operating systems
• Experience supporting bespoke business applications and managing systems integrations
• Excellent problem-solving skills and the ability to troubleshoot methodically under time pressure
• Outstanding interpersonal skills — you're the kind of person who becomes a known and trusted face around the office
• The ability to engage, motivate, and develop a small team, fostering a positive and proactive support culture
• A people-first mindset: you understand that great IT support is as much about communication and empathy as it is about technical know-how

Responsibilities

Oversee the day-to-day operations of the IT support team.Act as a senior support engineer and extension of the support team.Provide direct supervision to the team including evaluations, 1-2-1’s, mentoring, and all other line management responsibilities.Be the point of contact for technical support escalations.Record and track SLA’s and support team workflows, taking responsibility for meeting SLA targets for yourself and the wider team.Work with the Head Of IT Security & Operations to identify improvements to support technical process and team efficiency.Provide expert assistance to our customer operations teams in relation to the company’s bespoke internal and customer facing applications.

• Respond to user support requests in person, via the service desk platform (Jira), via instant message (Slack) and via video call.
• Troubleshooting hardware and software issues.Installing and maintaining hardware and computer peripherals.
• Installing and upgrading operating systems and computer software.
• Troubleshooting networking and connection issues.
• Advising on software or hardware upgrades.
• Providing training in computer operation and management to our end users.
• Take ownership of upskilling and training the other members of the IT Support function.
• Set up office equipment and assist with office and team relocations.Set up new equipment and accounts for new joiners to the business.
• Assist with the management and maintenance of user accounts across multiple platforms.
• Take ownership of managing and maintaining the asset register.
• Provide feedback on processes and help improve these using previous experience.
• Generate documentation on processes and procedures relating to business IT support.
• Be part of an on-call rota.

The role will lead a team across multiple offices.  Whilst the primary location will be on-site in the London office, some travel to our other sites, especially Cardiff, Manchester and Brighton, will be required.

About you

• Proven work experience as an application, desktop or IT support engineer or support technician in a senior or lead capacity.
• Excellent communicator both oral and written.
• A ‘people person’, able to lead by example and gain support and trust of your team and senior stakeholders.
• Ability to act as a technical escalation point for an IT support function.
• Able to lead by example as an extension of the support team as well as giving direction, feedback and mentoring to the team.
• Ability to communicate processes and procedures clearly and accurately, verbally and in writing.
• Experience of delivering a high level of customer service.

Knowledge of popular operating systems, software applications, and remote connection systems:

• Microsoft Windows 10/11 (essential)Azure Active Directory (essential)Google Workspace (essential)
• Slack
• Jira / Confluence (essential)
• Office 365
• Intune (essential)Autopilot
• Mac OS
• Bespoke Application support
• Data administration
• Demonstrable knowledge of structured query language (SQL)

Beneficial:

• Experience with OS patching upgrade management.
• Appreciation of working within IT Security frameworks such as ISO27001, NIST
• Advanced knowledge of computer hardware systems (Dell laptop and desktops preferred).
• Ability to solve complex hardware and software issues.
• Ability to travel and work after hours when necessary.
• Be part of an on-call rota covering out of hours support.
• Excellent interpersonal skills.
• Good written and verbal communication skills.
• Microsoft or IT-related certifications (ITIL, CompTIA, etc) preferred.

Our Values & Culture 🌞

• Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly.
• Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.
• Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard.
• Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done.
• Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback.

Diversity & Inclusion 🌈
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks
We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:
🏥 Private Healthcare including dental and opticians services through Vitality
✈️ Worldwide travel insurance through Vitality
🎁 Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
👛 Salary Sacrifice Pension Scheme up to 7% match
🚘 Octopus EV Salary Sacrifice Scheme
🏖️ 28 days holiday (plus bank holidays)
📖 Annual Learning and Wellbeing Budget
👪 Enhanced Parental Leave
🚲 Cycle to Work Scheme
🚂 Season Ticket Loan
💬 6 free therapy sessions per year
🐶 Dog Friendly Offices
🍫 Free drinks and snacks in our offices

Check out more of our benefits, values and mission here.

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Are you eager to learn new technologies? Do you appreciate a free working environment where you get a high level of decision-making authority but also the support you needed? Can you turn business requirements into excellent technical solutions leveraging Adobe technologies? And would you like to work with some of the world’s most skilled marketing automation developers on one of the most advanced CRM/marketing platforms? Then you might be just the one we are looking for!

What will your day look like?

In the role as an Adobe Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy, and target for the project, followed by designing, developing, and implementing robust solutions leveraging Adobe marketing platforms.

Furthermore, your tasks include:

• Leading the implementation of new features, bug fixes, and complex configurations within Adobe environments.
• Collaborating with Architects and Technical Project Managers to translate client requirements into precise technical specifications, estimates, and deployment plans.
• Conducting in-depth technical investigations, troubleshooting issues, and proposing effective solutions, often involving advanced programming and integration.
• Mentoring and providing technical guidance to Associate and other Developers on complex tasks, coding best practices, and problem-solving techniques.
• Ensuring the successful integration, testing, and deployment of client applications and platforms, applying rigorous quality assurance methods.
• Staying abreast of industry trends and emerging technologies, especially within the Adobe ecosystem, to continually enhance our offerings and provide innovative solutions.
• Acting as a go-to resource for technical challenges, proactively engaging in discussions with clients and internal teams to find the best approach.

Who are you going to work with?

You will become part of an exciting and challenging professional environment, working closely with Architects, Application Consultants, Technical Project Managers, and other Developers (including Associate, Senior, Lead, and Principal levels) within the technical team. You will also collaborate with Data Specialists and Designers outside of your department. Our common feature is that we all are competent, respectful teammates who go the extra mile to help one another.

We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy-going, dynamic atmosphere where we not only work together – we are great at having fun as well.

What do you bring to the table?

You are an outgoing and self-motivated person who contributes positively to the working environment with your team-player attitude. Your previous experience with being a trusted advisor for clients and colleagues means that you are not afraid to express your opinion, and your organized approach helps you meet deadlines and break down projects into manageable chunks.

In addition, you have:

• 4+ years of hands-on development experience, ideally within an agency or consulting environment, with a strong focus on digital marketing solutions.
• Proven expertise with Adobe Experience Cloud platforms, such as Adobe Journey Optimizer (AJO), Adobe Campaign Classic, Adobe Marketo Engage, Adobe Analytics, Adobe Experience Platform (AEP), Adobe Target (AT).
• Strong proficiency in front-end and back-end technologies including JavaScript, HTML, XML, CSS, and SQL, along with experience in other programming languages (e.g., Python, Java) and API integrations.
• Active Adobe certifications such as AJO Developer Expert, RTCDP Developer Expert, Adobe Campaign Classic Developer Expert, Adobe Campaign Standard Developer Expert
• Experience with code versioning systems, automated integration testing, security testing, and secure coding practices.
• Deep understanding of data models, optimization techniques, and GDPR principles.
• Excellent communication skills (in English), with the ability to articulate complex technical concepts to diverse audiences (technical and non-technical).
• A proactive and collaborative mindset, with a strong commitment to continuous learning, problem-solving, and a growth mindset.

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

Data Analytics Architect (Snowflake & dbt Expert)
Location: Western Europe

We're looking for a highly skilled Data Analytics Architect to serve as the cornerstone of our Go-To-Market (GTM) data platform and accelerate our ability to deliver actionable insights. In this role, you will take full ownership of our Snowflake environment and dbt projects to enhance and maintain our existing technical foundation. You will serve as the strategic bridge between our leadership in North America and our engineering teams in India, translating complex business objectives into high-performing, code-based data architectures. As our primary Snowflake and dbt expert, you will not only maintain our "warehouse-first" strategy but also pioneer the integration of modern AI tools like Claude Code into our development lifecycle to drive unprecedented efficiency.

To be successful in this role, you must be a technical powerhouse who is equally comfortable writing production-grade SQL/Python and presenting data strategy to stakeholders. You are a fast, clear, and independent thinker who thrives on the "get things done" mentality of a high-growth environment. You possess a deep understanding of modern data stack best practices—specifically version-controlled development and end-to-end orchestration—and you are never satisfied with the status quo. You excel at collaborating across time zones, navigating ambiguity without formal authority, and maintaining technical excellence under pressure. You are passionate about automation, detail-oriented in your data modeling, and have superb communication skills to make complex data lineages easy to understand for everyone in the organization.

As an Data Analytics Architect, you’ll get to:

• Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management.
• Architect dbt Foundations: Lead the development of our dbt project, establishing standards for modeling, testing, documentation, and CI/CD pipelines.
• Bridge Global Teams: Act as the primary technical point of contact between North American leadership and India-based resources, ensuring seamless requirement translation and project execution across time zones.
• Operationalize AI: Integrate AI-assisted development (Claude Code, LLMs) into the workflow to automate boilerplate tasks and accelerate time-to-value for new data products.
• Transform GTM Data: Replace and enhance the "Warehouse-First" models, centralizing data from Salesforce, product usage, and marketing tools into a unified, clean source of truth.
• Ensure Data Integrity: Establish and own data quality monitoring, observability, and alerting frameworks to ensure business-critical dashboards remain reliable and accurate.

You’ll be a good fit if you have:

• 5-7+ years of experience in Data Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale.
• Mastery of Snowflake architecture, administration, and performance optimization.
• Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management.
• Demonstrated success working within a distributed team, specifically coordinating between Western Europe, North America, and India.
• Fluent in version control (Git), SQL, and Python, with a strong focus on building maintainable, "code-first" data solutions.
• Experience (or high comfort level) using Claude Code and other AI development tools to enhance productivity and code quality.
• Understanding of SaaS metrics and Go-To-Market data flows (Salesforce, Marketo, Revenue Ops) is highly preferred.
• Native or near-native English fluency, with the ability to explain technical debt, architectural trade-offs, and data lineage to non-technical leaders.

Job Description: Technical Delivery Manager

Location: London, UK
Work Model: Full-time, onsite at customer location
Role Type: Customer-facing delivery leadership role

Role Summary

We are looking for a Technical Delivery Manager to lead complex technology delivery for a strategic enterprise customer in London. This role requires a strong combination of hands-on technical understanding, delivery ownership, client management, Agile execution, and cross-functional leadership.

The ideal candidate will manage end-to-end delivery across cloud, data, application modernization, AI-enabled engineering, and enterprise integration initiatives. The role is fully customer-facing and requires daily onsite collaboration with business, technology, product, architecture, and engineering stakeholders.

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery across assigned programs, workstreams, releases, and sprint commitments.

• Drive planning, execution, risk management, dependency tracking, and stakeholder communication.

• Ensure delivery predictability across scope, schedule, quality, budget, and customer expectations.

• Manage delivery governance using Agile methodology, sprint ceremonies, release planning, retrospectives, and operational reporting.

• Maintain clear traceability of requirements, user stories, acceptance criteria, UAT sign-offs, defects, and production readiness.

Customer & Stakeholder Management

• Act as the primary onsite delivery interface for customer stakeholders.

• Build trusted relationships with business, product, technology, architecture, security, infrastructure, and operations teams.

• Translate business priorities into actionable delivery plans and technical execution roadmaps.

• Proactively communicate risks, blockers, trade-offs, and mitigation plans.

• Support executive-level reporting, steering committee updates, and escalation management.

• Identify growth opportunities and partner with internal team to build solution proposals

Technical Oversight

• Provide technical leadership across cloud, data, application, integration, and DevOps workstreams.

• Work closely with architects, engineers, QA, DevOps, and data teams to validate technical design and delivery feasibility.

• Ensure alignment with enterprise architecture, security, privacy, data residency, and operational standards.

• Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.

• Drive production-readiness reviews, performance validation, monitoring, and support handover.

Engineering & Agile Execution

• Lead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.

• Manage delivery through tools such as JIRA and/or Azure DevOps.

• Ensure stories are well-defined, estimated, prioritized, and linked to business outcomes.

• Track velocity, capacity, defects, risks, dependencies, and release burn-down.

• Promote disciplined engineering practices, including code quality, peer review, automation, testing, and deployment controls.

Data, Cloud & DevOps Delivery

• Manage delivery across modern data platforms and cloud-native environments.

• Coordinate data engineering, transformation, ingestion, analytics, and reporting workstreams.

• Oversee CI/CD pipeline execution, environment readiness, deployment planning, and release validation.

• Support operational readiness through monitoring, observability, incident response, and continuous improvement.

Required Technical Experience

Strong working knowledge across modern enterprise technology delivery, including:

• Cloud & Platform: Microsoft Azure, AKS, Azure Container Apps, Azure Monitor, Azure SQL, Cosmos DB, Azure Data Lake, Fabric / OneLake.

• Data & Analytics: Databricks, Unity Catalog, Azure Data Factory, PySpark, Python, SQL, Power BI, data pipelines, transformations, reconciliation, and data quality.

• Application & Integration: .NET / .NET Core, Angular, REST APIs, microservices, authentication, authorization, and secure enterprise integration.

• DevOps & Delivery Tools: JIRA, Azure DevOps, GitHub, CI/CD pipelines, release management, environment management, automated testing, and deployment governance.

• AI-Enabled Engineering: Exposure to GitHub Copilot, Claude, Codex, Lovable, or similar AI tools supporting SDLC acceleration, code generation, testing, and productivity improvement.

Required Skills & Qualifications

• 10+ years of experience in technology delivery, software engineering, data platforms, or cloud transformation.

• 5+ years in a delivery management, technical program management, or technical project leadership role.

• Strong experience managing enterprise customers in an onsite, high-touch delivery model.

• Proven ability to lead distributed engineering teams across onsite, nearshore, and offshore locations.

• Strong understanding of Agile delivery, sprint execution, release governance, and production deployment practices.

• Ability to challenge teams constructively on estimates, technical approach, quality, and delivery risks.

• Excellent communication skills with the ability to engage both technical teams and senior customer stakeholders.

• Strong problem-solving mindset with ability to manage ambiguity, dependencies, and escalations.

• Experience in regulated, enterprise, audit, financial services, or professional services environments is preferred.

Preferred Experience

• Experience working with large global enterprise customers.

• Prior exposure to audit, risk, compliance, financial services, or professional services platforms.

• Experience managing cloud data platform programs using Azure, Databricks, Fabric, and Power BI.

• Experience with modernization programs involving .NET, Angular, APIs, microservices, and cloud-native deployment.

• Familiarity with operational support, production readiness, observability, performance testing, and incident management.

• Experience driving value-based delivery, productivity improvement, and AI-enabled engineering adoption.

Key Success Measures

• Predictable sprint and release delivery.

• Strong customer confidence and stakeholder satisfaction.

• Clear governance across scope, backlog, UAT, defects, and release readiness.

• Improved delivery quality, reduced rework, and stronger production stability.

• Effective coordination across business, product, engineering, QA, DevOps, and operations teams.

• Proactive risk management and transparent executive communication.

Ideal Candidate Profile

The ideal candidate is a hands-on technical delivery leader who can operate comfortably with senior customer stakeholders while also engaging deeply with engineering teams. They should be able to manage delivery pressure, bring structure to ambiguity, challenge teams constructively, and ensure that commitments are met with quality and transparency.

This is not a purely project management role. It requires someone who understands technology delivery in depth and can lead from the front in a complex, customer-facing enterprise environment.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Octus Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe. 

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities:

Fundamentals Data Analytics

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across Octus's non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe 
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs. This entails producing anonymised benchmarking analyses across sectors, regions, instrument types (bonds, loans) and company sizes. 

Data Quality & Mapping 

• Develop and enhance the financial data quality control framework, with the goal of minimising data errors and providing feedback and training to financial analysts on best practices.
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies and maintain dataset integrity
• Support internal and external mapping exercises, ensuring consistency between company identifiers, instrument references, and data sources across systems

Automation & AI

• Identify, design, and implement automation solutions to streamline repetitive data operations and reporting workflows across the Fundamentals department
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates to support the broader analyst team with scalable, self-serve data access

Cross-functional Support & Product Development

• Assist the Fundamentals analyst teams with ad-hoc internal data requests, query setup, and analytical tasks
• Develop a deep understanding of how Octus clients use the platform and contribute ideas for improving data products and user experience

Requirements:

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards, and the ability to interpret financial statements and assess financial performance
• Familiarity with credit instruments and credit market dynamics; understanding of investment banking and credit analysis workflows is a strong advantage
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query, and large-dataset manipulation
• Proficiency in Python and/or SQL for data manipulation, automation scripting, and workflow optimisation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI, or equivalent platforms
• Working knowledge of AI tools and large language models (e.g. ChatGPT, Gemini, Claude) for data extraction, document analysis, or process automation; experience building AI-assisted workflows is a plus

Octus Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe. 

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities:

Fundamentals Data Analytics

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across Octus's non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe 
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs. This entails producing anonymised benchmarking analyses across sectors, regions, instrument types (bonds, loans) and company sizes. 

Data Quality & Mapping 

• Develop and enhance the financial data quality control framework, with the goal of minimising data errors and providing feedback and training to financial analysts on best practices.
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies and maintain dataset integrity
• Support internal and external mapping exercises, ensuring consistency between company identifiers, instrument references, and data sources across systems

Automation & AI

• Identify, design, and implement automation solutions to streamline repetitive data operations and reporting workflows across the Fundamentals department
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates to support the broader analyst team with scalable, self-serve data access

Cross-functional Support & Product Development

• Assist the Fundamentals analyst teams with ad-hoc internal data requests, query setup, and analytical tasks
• Develop a deep understanding of how Octus clients use the platform and contribute ideas for improving data products and user experience

Requirements:

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards, and the ability to interpret financial statements and assess financial performance
• Familiarity with credit instruments and credit market dynamics; understanding of investment banking and credit analysis workflows is a strong advantage
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query, and large-dataset manipulation
• Proficiency in Python and/or SQL for data manipulation, automation scripting, and workflow optimisation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI, or equivalent platforms
• Working knowledge of AI tools and large language models (e.g. ChatGPT, Gemini, Claude) for data extraction, document analysis, or process automation; experience building AI-assisted workflows is a plus

About the role

We’re looking for a strategic finance leader to join Reddit’s International Strategic Finance team, acting as a core partner to International Sales leadership across LCS, Mid-Market, SMB, and Channel Partnerships to drive growth, planning, and execution.

This is not a FP&A or reporting role. 

You will sit at the center of how our international business scales, owning key parts of the P&L, shaping investment decisions, and bringing clarity in a fast growing, high ambiguity environment. You’ll be expected to move beyond analysis and into decision making and influence: not just explaining what happened, but helping determine what we should do next.

You will operate as the second International Strategic Finance hire, helping build systems and discipline to scale the business globally while acting as a key voice in driving profitable growth.

What you’ll do

• Act as a financial steward for the business, ensuring profitability is embedded in all decisions while supporting continued growth
• Evaluate trade offs across revenue, cost, and investment with a focus on long term value
• Work with stakeholders to ensure growth initiatives are both scalable and economically sound
• Partner directly with International Sales leadership to:
• Diagnose performance drivers
• Influence investment and resource allocation decisions
• Lead forecasting for key segments, ensuring clear linkage between pipeline, productivity, and revenue
• Build and institutionalize P&L performance management, including KPI review cadences
• Translate complex data into clear recommendations for senior stakeholders
• Partner cross functionally across Finance, RevOps, Product, Marketing, and Accounting
• Some travel may be required (US / Amsterdam) as the team and business continue to scale.

About you

• 5–8+ years of experience in:
• Strategic Finance / FP&A (preferably SaaS or tech)
• Investment banking (TMT preferred)
• Private equity or growth equity, ideally with exposure to portfolio companies or operating environments
• Consulting or deals with exposure to operating businesses
• P&L fluent with a clear focus on driving profitable growth:
• You understand how businesses make money and evaluate trade-offs across growth, cost, and investment
• You act as the voice of financial discipline in the room
• Analysis is second nature:
• You move quickly from data to insight
• You anticipate key questions and shape analysis to drive decisions
• You use data to challenge thinking and improve outcomes
• Comfortable operating in ambiguity; you structure problems and move forward without perfect inputs
• Strong modeling skills (Excel/Sheets) and SQL familiarity
• Strong communicator with a high ownership mindset

How you work

• You don’t want to report on the business, you want to shape it 
• You naturally think in “ what should we do” instead of “what happened” 
• You challenge stakeholders and ensure alignment on the right decisions
• You operate with intensity, curiosity, and a bias toward action

Why this role is exciting

• True operator and builder 
• You’ll be the second international Strategic Finance hire
• International is one of Reddit’s fastest growing, highest priority focus areas.
• Your work will directly influence how the business scales and where we invest
• You’ll touch forecasting, strategy, operations, and performance and see your work show up in real outcomes.

Benefits UK:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Group Personal Pension Scheme with Employer match
• Private Medical and Dental Scheme
• Income Replacement Programs
• Bike to Work scheme
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Analyst, Commercial Insights – Services 

London, UK (Collab)

Role Overview 

PlayStation is looking for an innovative, detail-oriented, highly motivated Analyst to join our PlayStation Services team. Services sits within the Global Sales and Business Operations organization that manages the PlayStation Plus subscription business, a key revenue generator and innovator for Sony Interactive Entertainment. This role sits within the Planning and Insights team responsible for leading analytics operational excellence in commercial performance, planning, and strategy.  

This role is responsible for insightful and actionable analytics support of our subscription services from a commercial planning standpoint. You will play a critical role in creating data reporting tools, developing methodologies for measuring and forecasting impact to subscriptions, and delivering analytical insights on the performance of offers & promotions, pricing and experience optimizations.  The work you do will directly impact decisions made about the offers and experience made available to PlayStation Plus members. Effective verbal and written communication skills are extremely important, as s/he will collaborate with key stakeholders across a global organization.  

What you will be doing 

• Support the Services Insights team with analysis of commercial and engagement trends across the PlayStation Plus user base, using these insights to inform strategic decisions and improve performance measurability 

• Working across our Commercial, Engagement & Experience and CRO teams, you will be responsible for exploring our subscriptions data for novel insights, deconstructing complex datasets to help improve knowledge of our users 

• Creating recursive frameworks for long term monitoring of business initiatives, helping to identify opportunities for growth and reduce reporting cycle time 

• Working with our Engineering and Reporting teams to democratise insights into actionable outputs 

• Support efforts to optimise our business with experimentation and A/B testing 

• Partner closely with stakeholders within GSBO and other supporting teams to understand and deliver business insights using data 

• Collaborate with data teams across SIE to understand and utilise available tools and resources while contributing learnings and business area expertise to the organization  

What we are looking for 

• Bachelors Degree in a quantitative or computational field or equivalent

• 5+ years experience in analytics related roles 

• Proficient at translating ambiguous business requirements into meaningful analytical insights from start to finish  

• Skilled with SQL, Python and spreadsheet applications (Excel, Google sheets). 

• Knowledge of statistical concepts, subscription metrics and A/B testing 

• Keen attention to detail and ability to deliver high quality analytical work 

• Proven experience creating data visualizations and reports to surface actionable insights  

• Excellent communication skills (written and verbal) 

• Ability to work collaboratively with stakeholders across different teams and levels 

• Strong project management, multi-tasking and organizational skills 

• Ability to adapt quickly in a dynamic, changing, fast-paced business environment 

• Ability to work varying hours as well as a flexible approach to working hours to support global business operations 

Preferred Qualifications 

• Strong technical proficiencies with SQL, Python, Airflow 

• Skilled with visualization tools like Domo, Power BI, Tableau 

• Interest in the gaming industry 

• Knowledge of digital gaming landscape, key players, and competitive offerings 

• Prior experience with subscription businesses preferred 

PlayStation Game Analytics

In Game Analytics, we partner with product, design, engineering, and marketing teams to improve player experiences through data. Our focus is on helping teams make better decisions by embedding experimentation, lifecycle thinking, and player/customer insights into how products evolve over time. We work across PlayStation Studios and platform teams to support rapid iteration, personalisation, and long-term engagement in live service environments.

As a Lifecycle Data Analyst, you will work as part of a cross‑disciplinary team focused on improving player/customer journeys through experimentation and lifecycle optimisation. This role is heavily oriented toward experiment design, scalable measurement frameworks, and exploratory analysis that inform personalised lifecycle content and messaging.

As a Data Analyst, you will work closely with cross-functional partners to support analytics initiatives across one or more game titles. You will support a broad range of game analytics projects from early feature evaluation through live performance optimisation. You will contribute to experimentation, feature analysis, performance reporting, and exploratory research that informs product and business decisions.

You will:

• Design and analyse experiments (A/B tests, holdouts, quasi-experiments) to evaluate features, content, and player-facing initiatives.
• Conduct exploratory analysis of player behavior, engagement, and monetisation data to uncover insights and inform recommendations.
• Define and track KPIs related to engagement, retention, progression, and revenue.
• Build repeatable analytical frameworks, dashboards, and data products that enable consistent measurement across teams.
• Translate ambiguous product or business questions into clear analytical approaches and actionable insights.
• Partner with Product Managers, Designers, Engineers, and Publishing teams to align on success metrics and measurement strategies.
• Support both short-term analysis needs (e.g., feature readouts) and longer-term performance tracking.
• Ensure analytical rigor and data quality across all workstreams.

What We Are Looking For

We’re looking for an analyst who thrives in collaborative, fast-moving environments and enjoys solving complex problems with data.

You have:

• Strong experience in experiment design and analysis, including hypothesis definition, metric selection, and interpretation of results.
• Advanced SQL skills and experience working with large-scale behavioural datasets.
• Experience creating scalable analytical frameworks or standardised reporting tools.
• Strong exploratory analysis skills and the ability to generate clear, structured insights.
• Experience translating business questions into analytical plans and recommendations.
• Experience working cross-functionally with Product, Design, Engineering, or Marketing teams.
• Experience with data visualisation tools such as Looker or Tableau and strong written communication skills.

Domain Experience

Experience working on live or rapidly iterated digital products is required (gaming experience is strongly preferred but not mandatory).

Relevant backgrounds include:

• Console or mobile games
• Live service products
• Ecommerce or subscription platforms
• Other digital products where experimentation and engagement measurement are core

Familiarity with player engagement, retention, progression systems, and monetization models is preferred.

Bonus Points If You Have

• Experience supporting live service games or ongoing content releases.
• Experience with Python or statistical tooling for deeper analysis.
• Experience building dashboards or scalable analytics products used by non-technical stakeholders.
• Curiosity-driven mindset and a strong desire to improve how teams learn from data.

The role 

We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world.

As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players.

You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.

What you’ll be doing

• Designing, building and maintaining reliable data pipelines and processing components used across the business
• Writing clean, maintainable code and improving performance, data quality and cost efficiency over time
• Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery
• Contributing to technical design, estimation and planning discussions to help the team deliver effectively
• Reviewing code and sharing feedback to support guidelines and collective code quality
• Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard
• Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve
• Learning and applying new tools, technologies and approaches as the platform and team continue to grow
• Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working

What we are looking for

Must have

• Experience as a data engineer (or similar), delivering production-ready, scalable code
• Strong SQL skills and experience with relational and analytical databases
• Programming experience in one or more of Python, Java, C or Spark-based technologies (PySpark, Spark)
• Experience contributing to data platforms handling complex, high-volume data (Databricks)
• Experience with data warehouse or analytical platforms (for example Snowflake or Teradata)
• Understanding of performance and cost considerations in data processing systems
• Strong problem-solving skills and ability to handle multiple priorities
• Clear communication skills, including explaining technical concepts to non-technical partners
• Experience working in UNIX or Linux environments, including shell scripting
• Curiosity and eagerness to learn new tools and technologies
• Eligibility to work in the UK, with ability to travel occasionally to the US and Japan

Nice to have

• Familiarity with additional data processing or integration technologies
• Experience with graphical or low-code data development tools (for example Ab Initio)
• Understanding of data modelling concepts
• Experience translating business requirements into technical solutions

At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV & Personalisation team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. 

As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence key commercial and product decisions at scale and are evaluated based on their impact on commercial outcomes. You will work on complex and often ambiguous problems, helping define how we measure player value and how we deliver more personalised player experiences. 

This role combines deep hands-on modelling with ownership of problem definition, approach, and impact. You will work with a high degree of autonomy across ambiguous problem spaces, shaping how data informs strategy and decision-making across the business. 

What You’ll Do 

• Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle. 

• Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions. 

• Partner with senior stakeholders to shape strategies, and ensure Data Science drives high-impact decisions. 

• Apply advanced machine learning techniques, including deep learning and sequence modelling, where appropriate to capture complex player behaviours and improve model performance. 

• Evaluate and select modelling approaches based on problem context, balancing performance, scalability, and interpretability. 

• Work within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are scalable, production-ready, and aligned with long-term architecture. 

• Mentor other data scientists and contribute to best practices across the team. 

• Communicate complex modelling approaches, assumptions, and outcomes clearly to senior technical and non-technical audiences. 

What We’re Looking For 

You combine technical depth in machine learning with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on solving sophisticated problems that deepen PlayStation’s understanding of its players and you use this understanding to inform data-driven decisions and strategies that drive player growth. 

• Proven industry experience delivering impactful, production-ready machine learning solutions in areas such as customer value, retention, or personalisation. 

• Strong expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. 

• Ability to critically assess when advanced approaches are warranted versus simpler solutions. 

• Experience owning projects end-to-end, including problem definition, navigating ambiguity, selecting modelling approaches, and delivering impactful solutions. 

• Ability to work with large, complex datasets and translate them into scalable solutions. 

• Strong stakeholder management and communication skills, with the ability to influence decisions and communicate results persuasively to both technical and non-technical audiences. 

• Proficiency in Python, SQL, and modern ML tooling (such as Tensorflow, PyTorch, MLlib, feature stores); experience with PySpark or equivalent distributed data processing tools. 

• A strong academic background, typically a Master’s or PhD in a technical or quantitative field, specialising in Machine Learning. 

• Experience deploying models into production and maintaining business-critical or consumer facing models. 

Nice to Have 

• Background in gaming, e-commerce, or subscription-based businesses. 

• Industry experience with experimentation frameworks and causal inference. 

• Experience working in agile, fast-paced environments 

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

As a Data Science Manager, you will lead both people and innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. This is a hands-on leadership role blending technical depth with managerial responsibilities. You will drive cutting-edge research in experimentation methodologies while mentoring and guiding a team of data scientists. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
• Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
• Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
• Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
• Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
• Represent the team’s insights, innovations, and impact across the broader data science and product communities within PlayStation.
• Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Role Overview:

Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer-centric decisions through seamless integration of data.

Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation.

Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalisation.

We’re seeking a motivated and collaborative Data Scientist to join our CLV & Next Best Action / Personalisation team, which builds models that help PlayStation understand and influence the value, growth, and engagement of our global player base.

By connecting player behaviours to long-term outcomes, our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStation’s Next Best Action and Personalisation strategies. You’ll help shape how PlayStation invests in, retains, and delights its players - and advance our use of modern machine learning at global scale.

This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players.

What You’ll Be Doing:

• Build and validate models for use cases such as churn prediction, purchase propensity, CLV modelling, and personalised engagement.
• Work with sequential and behavioural data, applying machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behaviour and growth.
• Partner with commercial, finance, and lifecycle teams to translate business needs into modelling hypotheses that inform engagement strategies.
• Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable.
• Communicate findings clearly to both technical and non-technical partners, ensuring insights drive measurable outcomes.
• Grow your expertise in modern ML approaches (transformers, representation learning, sequence-to-sequence modelling) through high-visibility projects.

What we're looking for:

You’re curious, analytical, and eager to grow your skills in a commercial data science environment. You bring strong fundamentals in modelling and data manipulation, and you’re motivated by the challenge of applying these to impactful business problems.

• Strong analytical and critical thinking skills, with a passion for understanding customer behaviour and enabling data-driven growth.
• Practical experience with predictive modelling, such as churn, propensity, segmentation, or value modelling.
• Proficiency in Python and SQL, with fluency in common data science libraries.
• Ability to work with large datasets to uncover actionable insights that influence marketing, engagement, or retention strategies.
• Interest or early experience in deep learning approaches — such as transformers, embeddings, or sequence models — with motivation to learn and apply them.
• A collaborative attitude, with the ability to work in cross-functional teams.
• A strong academic background (typically with a Master’s in a technical or mathematical field) or equivalent professional experience.

Nice to Have:

• Experience with A/B testing or experimentation frameworks.
• Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualisation platforms (e.g., Tableau, Domo).
• Exposure to gaming, e-commerce, or subscription-based business models.
• Proven experience of analysing and modelling with “big data” technologies.
• A personal interest in gaming and entertainment.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

Who we are

About Bridge

We’re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward.

We have a small team of people who have previously built financial infrastructure at some of the world’s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.

What you’ll do

As part of our growing Product Support team, you will be a critical driver in delivering exceptional user experiences. This role goes beyond basic troubleshooting—it's about using your technical expertise, analytical mindset, and project management skills to strategically improve our support systems, processes, and product quality.

You will own complex technical user issues and coordinate with cross functional teams, including Engineering and Product, to drive them to resolution. A deep understanding of SQL and APIs will allow you to engage with these teams effectively, analyze data to inform decisions, and propose solutions that drive operational efficiency. Your work will focus on scaling support operations, creating better user experiences, and pushing forward continuous improvements. 

Responsibilities

• Analyze and troubleshoot complex technical issues through direct user interaction, utilizing SQL to extract and interpret data, and leveraging your knowledge of API documentation.
• Develop product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues.
• Strategically optimize and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics.
• Lead continuous improvement initiatives aimed at hitting key performance metrics such as Consumer Satisfaction (CSAT), Contact Rate, and SLA compliance.
• Create and refine documentation to empower users to resolve issues via self-service, reducing dependency on support teams.
• Collaborate and advocate with Product and Engineering to proactively improve the platform based on user feedback, ensuring long-term product reliability.
• Lead cross-functional projects aimed at identifying inefficiencies in current processes and drive the implementation of long-term solutions.
• Constantly challenge the status quo and push for innovation in user support strategies and operational processes.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in a customer-facing product support role, with a focus on troubleshooting technical issues.
• Proficiency in SQL for data analysis and querying, with the ability to interpret datasets.
• Experience working with API’s. 
• Exceptional problem-solving skills, capable of diagnosing complex issues and driving them to resolution.
• Proven experience in stakeholder management, with the ability to influence cross-functional teams and drive progress.
• Experience in project management, particularly in optimizing processes, workflows, or support operations.

Preferred qualifications

• Strong analytical skills with a passion for interpreting data to improve decision-making and outcomes.
• Comfortable explaining technical concepts to both technical and non-technical stakeholders.
• Proficiency in technical environments and the ability to diagnose and resolve highly technical user issues.

Hudson River Trading (HRT) is seeking a Corporate Action Analyst to join our PostTrade Strategic Initiatives team. The PostTrade team at HRT designs and operates the systems and processes that reconcile the firm’s trading with our various brokers and counterparties around the world. Due to the high volume of trades and complexity of our global trading system, we rely heavily on automation to reduce operational risk, ensure data integrity, and maintain regulatory compliance.  

In this role, you will work as part of a tight-knit, highly productive Strategic Initiatives team to develop operational efficiencies, collaborating with multiple teams across HRT’s global business. Corporate actions are a growing priority for this team – the ideal candidate has strong knowledge of corporate actions and asset servicing across markets, is passionate about utilizing technology and automation tools to work on a wide scope of operational projects, and is meticulously detail-oriented.

Responsibilities

• Analyze corporate action events from external data sources and verify information accuracy
• Maintain data accuracy within the firm’s reference data catalogue 
• Support the full lifecycle of mandatory events, voluntary events, and dividends from announcement to settlement 
• Monitor all upcoming corporate actions to verify proper processing throughout HRT’s infrastructure
• Investigate stock and cash reconciliation discrepancies daily and ensure all issues are properly resolved  
• Effectively manage and communicate risk around events and liaise with our Algo, Compliance, and Operations teams to optimize accordingly
• Interface with clearing houses, prime brokers, and counterparties on voluntary and election-based actions
• Identify and review corporate action event taxability, ensuring key stakeholders are appropriately updated
• Collaborate with teams across the firm to identify opportunities for new and improved workflows around the processing, settlement, and reconciliation of corporate action events
• Perform root cause analysis on problematic corporate action processing to increase automation

Qualifications 

• Minimum of 3-5 years of experience in a Corporate Action operations role, including an understanding of brokerage operations and the maintenance of reference data
• Strong knowledge of asset servicing across global markets, mandatory and voluntary corporate actions, and dividends. Knowledge of dividend tax withholding and processing of proxy votes are a plus
• Deep understanding of corporate action events, procedures, specific risk, and market practice
• Thorough understanding of security attributes across all asset classes as it relates to a security master
• Experience in stock borrow lending and settlement impacts on corporate actions
• Experience with the post-trade life cycle of equities, fixed income, and options
• Experience with external relationship management, including technology vendors, prime brokers, counterparties, etc.
• Experience with SQL and relational databases
• Experience with Bloomberg or Markit is a plus
• Knowledge of UNIX operating systems is a plus (we use Linux)
• Excellent cross-functional communication and collaboration skills
• Ability to work independently in a fast-paced, high-pressure environment
• Willingness to take ownership of challenging work and admit to and learn from mistakes  
• Ability to debug, analyze, and troubleshoot problems under fast turnaround times
• Highly analytical nature, with meticulous attention to detail
• Ability to maintain accuracy and speed while processing large amounts of information

Overview

The Technical Operations team at TripleLift is the center of excellence and central owner of publisher-side integrations. TripleLift partners with Publishers to monetize their unsold advertising space on their websites and apps. The Technical Operations Manager will be primarily responsible for onboarding TripleLift’s publishers, providing support to our Publisher Client Services and Publisher Development teams, owning the troubleshooting process to identify and resolve integration issues and collaborating with our Yield team to analyze integrations and develop strategies to enhance publisher performance. 

Your daily activities will include; liaising with our clients to initiate integrations and resolve technical issues, onboarding publisher’s inventory, decisioning on the most impactful publisher setup and providing consultative solutions, submitting design requests for the generation of native placements, running reports and analyzing the data to ensure integrations have launched successfully, enabling demand for TripleLift’s native, display and video advertising formats and providing support to Publisher Client Services via an internal ticketing system. 

Responsibilities

• Consult and direct clients on integration best practices
• Own the integration process across new and existing publishers to ensure consistent success and adoption of best practices.
• Onboard publisher inventory and activate them for TripleLift’s various advertising formats using  TripleLift's internal tools.
• Diagnose and resolve complex integration issues and escalate to second-line support if required
• Manage and ensure success of publisher integration - monitor performance, launch new accounts, make optimization suggestions, set up reports, etc.
• Launch experiments in conjunction with our Yield Team and publisher clientele to advance monetization strategies and techniques.
• Manage your workload within the CRM system Salesforce utilizing Salesforce Cases.
• Using knowledge of HTML and CSS, resolve publisher placement render issues;
• Support the Publisher Development team by consulting publishers on integration suggestions during the pre-sales process

Education & Requirements

• At least 2 years experience of Ad Trafficking experience with  knowledge of Google Ad Manager and Google Publisher Tag technologies;
• Strong troubleshooting skills, familiarity with Prebid.js
• Experience working for or with a digital publisher or an SSP;
• Strong customer service and interpersonal skills;
• Extremely strong and demonstrable work ethic;
• Ability to work individually and collaboratively to drive business forward;
• Excellent administrative skills and attention to detail;
• Ability to work quickly and independently with minimal oversight;
• Ability to work under pressure and multitask in a fast-paced start-up environment;
• Ability to accept feedback and constructive critique positively;
• Strives for continued learning opportunities;

Additional & Desirable skills:

• Experience of managing cases within Salesforce
• Experience with HTML, CSS, JS, SQL, testing and debugging (Postman), browser Dev Tools
• Experience of managing and resolving discrepancies 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

• T0 support for our desks, be main point of contact for desks queries
• T0 reconciliations and T1 controls
• Review of external breaks and follow up with other stakeholders to resolve
• Inventory management
• Settlement of securities across the globe
• Review requirements for product/markets expansions
• Provide assistance in trade capture for all products related to the firm’s activity
• Support trade management activities, such as processing exercises and assignments, corporate actions, transfers, currency conversions, etc.
• Adopt, integrate, and promote new technology as it becomes available
• Be a champion for integration with other GTO teams and

• Six or more years of experience in detail-oriented role in the financial markets industry, ideally in a middle office, back office, or risk management capacity
• Experience with futures, futures options, equities, equity options, FX, bonds, swaps, QIS, digital assets or other financial derivatives or products
• High level of proficiency with MS Excel
• Previous experience with Python, SQL, and VBA
• Comfort working with a variety of software and with technologists to identify technology needs and implement solutions
• Bachelor’s degree in finance, economics, computer science or another quantitative field
• Demonstrated high level of customer service and strong communication skills
• Demonstrated ability to be successful collaboratively or independently
• Proven ability to understand challenging problems, find solutions, and drive process improvement
• Demonstrated ability to understand big picture and anticipate downstream impacts

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-DW1

The team:

You’ll join a cross-functional department of Software Engineers, Product Managers and Designers, all collaborating together with the wider business to achieve impactful product outcomes.

Everyone is involved from day one in shaping opportunities that provide outsized value to both clients and suppliers on Risk Ledger, keeping our users as top priority.

We care deeply about building the right thing, in order to fundamentally shift mindsets in the cybersecurity industry. We ship quickly & continuously in order to learn and iterate - whilst always pushing for the highest possible quality bar and keeping security and automation front and centre.

The core of our stack is GoLang, AWS, and Vue.js, with modern design philosophies and a cloud-native approach.

This role:

Our Product Engineers play a crucial role in our user and product experience. You will be focused on solving innovative end-to-end product challenges in the best manner for our customers. Whilst you may have a natural inclination towards the backend or frontend, we expect you to have a good breadth of knowledge across the stack. You'll delve into all aspects of our tech stack and product portfolio, having meaningful impact on our customers, and the overall success of the business.

As a Staff Engineer, you'll typically be anchored to a single squad - often in a Tech Lead position - but you'll be expected to influence across all of our squads, and help to set high standards and consistency across the organisation. You should expect to operate at varying levels of detail across the stack and may have to manage multiple priorities simultaneously.

You’ll be collaborating on a daily basis with designers, product managers, other engineers and the wider business to create a great product experience and continuously ship value to our users. You'll be expected to mentor others within your squad and instil extremely high quality bars and effective modes of operation across our technology organisation. You will also have input into our engineering strategy.

In the role you will:

• Collaborate to deliver an exceptional product. From understanding initial needs to crafting outstanding solutions, you'll work directly with product managers and designers to bring ideas to life. And by that, we don’t just mean implement requirements, we expect our engineers to understand our market and customers in order to be able to influence product strategy and challenge assumptions.
• Develop high quality systems and code. Working across our stack, you’ll design and develop the systems that underpin the Risk Ledger product and advance us towards our vision.
• Move fast, with an eye for quality. You enjoy moving fast while maintaining an extremely high quality bar through testing, automation, discipline, consistency and best practice, whilst treading a careful line in pragmatism and cost-benefit analysis.
• Enjoy being a generalist. We are building an amazing and talented team from a diverse set of backgrounds and skillsets. Our engineers are empowered to work in all areas of our platform, and across all areas of the business, directly contributing to the wider success of the company.
• Nurture the talent and growth of the team. You will be able to mentor junior - senior level colleagues to level up both hands-on technical and architectural decision making skills.
• Have an impact. We're a growing startup - so you’ll have the opportunity to get involved in areas outside of your day to day role.
  
  

You’ll have:

• Worked in multiple engineering teams focused on building a customer focused SaaS product; weighing up delivering value to clients against technical excellence.
• Deep experience with either backend or frontend development.
  • Backend language preferably Go; or something like Java, C# or Python
  • Frontend: Typescript preferably with VueJS or React
• In either case, reasonable additional experience with:
  • SQL and 'NoSQL' Data stores, with deep knowledge of data model design
  • Containers and Orchestration: Docker / Kubernetes
  • Cloud providers and cloud native services, preferably AWS
  • Event driven systems, and messaging services such as SQS/SNS, Kafka or RabbitMQ
• Experience being the lead in the design of non-trivial solutions, working with others to implement.
• A desire to deeply understand our customers and the problems they face, in order to improve their day-to-day experience.
• An ability to thrive in ambiguity, tackling problems that might not be well defined and without obvious solutions, and comfortable operating autonomously.
• A keen sense of curiosity, with a natural drive to learn and grow.
• A passion to work collaboratively with others. We like to work as a team, not a collection of individuals and we expect you to have the same mindset. Passion for pairing, mobbing and other XP principles are a strong plus.
  
  

You might have:

• Participated in mentoring other members of your team. While this role will be hands-on technical as an individual contributor, we do expect Lead Engineers to take on some nurturing responsibility, and general tech leadership.
• A startup/scale-up background. We’re not concerned if you have not worked in this environment, as long as you are willing to get stuck into the ambiguity of an early stage company.
• Experience of data processing, machine learning, AI or integrating large datasets into a product.
• Worked with observability solutions (Kibana, Grafana, Sentry).

We are hiring a hands-on Data Quality & Governance Engineer to build and run the governance that underpins our Data & AI function.

You will sit at the intersection of engineering, governance, and risk. Your focus is to build quality, metadata, lineage, and control capabilities into our data and AI platforms, and fix issues where data is created. The goal: reduce downstream issues and give LHV a clear, single view of how critical data and AI assets are governed.

You will work closely with the Head of Data & AI, engineers, AI/ML team, risk, and technology partners to turn policy into automated patterns across the platform.

 What You Will Do

Data Quality and Observability by Design:

• Implement automated data quality checks, alerts, and observability for critical datasets, data products, and AI features (Python, SQL, dbt, similar tools).
• Work with source system teams to identify root causes and fix data at source.
• Embed controls in pipelines and transformations (schema, referential integrity, freshness, PII, data contracts).
• Define and monitor data SLIs/SLOs (availability, latency, freshness, completeness) and feed these back to teams.
• Integrate quality and observability signals into monitoring and incident tooling (e.g. Coralogix, Jira)

Build and Run Governance Operations:

• Help design and operate the Data & AI governance “spine” that connects policies, data, AI, and risk.
• Implement and maintain:
  • An enterprise data catalogue and glossary
  • End‑to‑end lineage from source to warehouse/lake to products, models, and reports
  • Ownership, stewardship, and criticality metadata aligned to the Data & AI Stewardship Model
• Ensure governance tooling reflects how data actually flows.
• Link governed assets to policies, controls, and risks, giving a single view of what data we have, where it comes from, how it is used, and who is accountable.

Enable Safe, Governed AI and Analytics:

• Make core data assets “AI ready” through strong provenance, documentation, and quality standards.
• Integrate governance with AI services and model lifecycle tooling so:
  • Models and AI use cases are registered, owned, and linked to their data
  • Training data, features, and outputs have clear lineage back to source
  • Data quality and model monitoring (performance, drift, bias) can be traced end to end
• Partner with Data Scientists, ML Engineers, and Analysts to design repeatable, governed patterns for feature stores, training datasets, and AI outputs.

Support Stewardship, Risk and Compliance:

• Work with Data Owners, Stewards, Custodians, and AI Stewards to:
  • Identify and prioritise Critical Data Elements (CDEs) and high‑impact AI use cases
  • Capture ownership, definitions, quality rules, and control requirements
• Implement practical solutions for:
  • Classification, retention, and access control (e.g. GDPR, banking regulation)
  • Audit trails and evidence for key data flows and AI services
• Provide clear views of where critical data comes from, how it flows, and how well it is controlled, including:
  • Lineage, quality coverage, and control effectiveness
  • Inputs to the Data & AI Governance Forum
  • Regulatory and internal assurance materials

Technical guidance:

• Provide technical guidance and code review for governance and quality patterns.
• Contribute to shared practices for governance as code, CI/CD, testing, and observability for data and AI workloads.
• Work in an agile environment with product, engineering, risk, and business stakeholders to turn governance requirements into deliverable work.
• Help evaluate and introduce governance and observability tooling (catalogues, lineage, data observability, AI governance).

 What We Are Looking For

Essential:

• Significant experience within in a data‑focused engineering role (e.g. Data Engineer, Analytics Engineer, Data Platform Engineer, Governance Engineer) with strong emphasis on data quality, governance, or observability.
• Experience with financial data or in financial services or other regulated industries.
• Strong hands-on Python and SQL for checks, automation, and integrations.
• Proven experience implementing automated data quality rules and monitoring (dbt tests, custom SQL/Python checks, data observability tools) and using them to drive fixes at source.
• Practical understanding of data governance (catalogue, lineage, ownership/stewardship, CDEs, access control, retention) and how to operationalise it in production.
• Experience with cloud‑native data platforms, ideally AWS (e.g. Redshift, S3, Glue, Lambda, IAM) or similar.
• Familiarity with modern data modelling and transformation (e.g. dbt, dimensional modelling, star/snowflake schemas).
• Experience with CI/CD and infrastructure as code for data systems (e.g. GitHub Actions, CodeBuild/CodePipeline, Terraform).

Desirable:

• Experience with data governance platforms or catalogues (e.g. Collibra, Atlan, Collate, Alation, OpenMetadata).
• Experience with data observability or monitoring tooling (e.g. Monte Carlo, Coralogix, custom metrics/alerting).
• Exposure to ML/AI pipelines, model registries, feature stores, and monitoring (e.g. MLflow, Evidently).
• Experience defining and operating data products with SLAs, contracts, and clear ownership.

Role Title: Data & AI Intern 

Location of internship: 1 Angel Court, London EC2R 7HJ

Length of Internship: 8 weeks

Start Date: 15th June - 7th August 2026

Schedule/Hours: Monday to Friday, 9:00 - 17:00

Student Type: Penultimate or Final Year students

This role is particularly suited for students studying: Data Science, Computer Science, Business Analytics, Information Systems, Mathematics, Engineering, Economics, or related subjects at undergraduate or postgraduate level

About the Role: 

This internship is designed to give early-career talent structured exposure to how Data and AI supports the bank's priorities. The work focuses on data quality, governance, operational resilience, dashboards, reporting, and safe AI enablement. It suits a student who enjoys both technical learning and understanding how data supports business decisions.

Main duties & responsibilities:

• Learn how Data and AI supports the bank's priorities and wider business outcomes.
• Build or extend a simple data dashboard.
• Review selected Airflow and data warehouse pipelines to understand how data moves through the organisation.
• Use a simple data and governance checklist to assess areas such as ownership, alerting, and naming clarity.
• Take part in a small data and AI governance exercise.
• Build low-code AI agents using templates in a safe, structured environment.
• Present back to the team what you have learned and what opportunities you have identified.

Students will gain: 

• Exposure to real Data and AI work in a banking environment.
• Better understanding of data quality, governance, and operational resilience.
• Experience with dashboards, pipelines, and data storytelling.
• Introductory experience with safe AI enablement and agent-building.
• Better understanding of ownership, controls, and practical business use cases.
• Experience communicating technical and business insights clearly.

Person specification:

• Strong analytical and problem-solving skills.
• Confidence working with data in Excel, SQL, Python, BI tools, or similar.
• Interest in data flows, dashboards, reporting, or AI tools.
• Ability to understand structured processes and translate findings into clear outputs.
• Curiosity and willingness to learn.
• Good communication skills.
• Strong attention to detail.
• Ability to work independently and collaboratively.
• Accountability and openness to feedback.

Nice to have: 

• Familiarity with dashboards, databases, or reporting tools.
• Exposure to Python, SQL, Airflow, cloud tools, or low-code/no-code tools.
• Interest in AI governance, data governance, or operational resilience.
• Ability to bridge technical and business thinking.

Role Overview

The Senior Financial Accountant is a key member of the UK Finance team with a remit spanning finance operations, financial control and financial reporting.

The ideal candidate brings strong accounting expertise, high levels of data and IT literacy, and a sharp focus on quality and control. They will be comfortable operating at pace within a highly regulated environment, with the capability and drive to continuously improve processes as the business scales.

Key Responsibilities

Financial Controllership & Reporting:

• Act as the Financial Controller’s key partner across financial controllership, supporting finance operations, technical accounting, reporting and tax, and helping drive standards, discipline and continuous improvement.
• Take responsibility for executing the majority of month-end and year-end close activities, ensuring outputs are accurate, complete and delivered on time in line with IFRS and regulatory requirements.
• Ensure the integrity of the general ledger and chart of accounts, with direct responsibility for balance sheet reconciliations, including bank and key control accounts.
• Support the preparation of statutory financial statements and disclosures.
• Execute and maintain financial reporting models required for a scaling bank (including IFRS 2, IFRS 9 and IFRS 16), adhering to model risk management requirements, with a strong willingness to deepen technical understanding over time.
• Support the external audit process by coordinating and delivering high-quality documentation and analysis, ensuring audit requests are addressed accurately and efficiently.
• Assist with internal audit activities, ensuring timely, well-evidenced responses to findings and recommendations.

Finance Operations & Tax:

• Execute a broad range of day-to-day finance operations activities, including Accounts Payable, Accounts Receivable and cash settlements, ensuring accuracy, timeliness and strong control discipline.
• Partner with external advisors on tax compliance and reporting, including corporation tax, VAT partial exemption, R&D tax credits and PAYE Settlement Agreements (PSA).
• Ensure all financial operations operate within the Bank’s governance, risk and control framework, maintaining strong oversight of financial data quality and reconciliations.

Controls, Process Optimisation & Governance:

• Design, implement and continuously enhance internal controls to strengthen financial governance and mitigate risk in a high-growth environment.
• Proactively identify and deliver process improvements and automation opportunities to enhance efficiency, scalability and reporting accuracy.
• Maintain and evolve financial policies and procedures, ensuring alignment with internal governance standards and regulatory expectations.
• Collaborate closely with Treasury, Risk, Operations, Product and Technology teams to support cost control, asset capitalisation and other finance-related processes.
• Act as a key business partner to Group Finance and UK stakeholders, ensuring alignment, transparency and high-quality financial information flows.

Leadership & Culture:

• Coach and support junior members of the finance team, reinforcing high standards of accuracy, ownership and professionalism.
• Foster a culture of accountability, integrity and continuous improvement across all financial control processes.
• Embrace and promote the effective use of modern tools, including AI solutions such as ChatGPT and Copilot, demonstrating strong prompt literacy and comfort leveraging technology to improve efficiency, insight and reporting quality.

Requirements:

Education & Qualifications:

• Qualified accountant (ACA, ACCA, ICAS, CPA or CIMA), or in the final stages of qualification.
• 2–5 years’ post-qualification experience (or equivalent practical experience) within banking, financial services or another regulated environment.

Technical & Professional Skills:

• Strong core accounting knowledge with practical experience applying IFRS in a financial reporting environment.
• Hands-on experience delivering month-end close, balance sheet reconciliations and financial reporting in a controlled environment.
• Exposure to statutory accounts preparation and supporting external audits.
• Understanding of UK tax fundamentals (corporation tax, VAT), with experience working alongside external advisors.
• Experience working with advanced accountings ledgers (Microsoft Dynamics / Business Central / Navision preferred).
• Strong Excel capability and high data literacy, with the ability to interrogate large data sets and improve reporting accuracy and efficiency.
• Comfortable leveraging modern tools, including AI solutions such as ChatGPT or similar platforms, with solid prompt-writing skills and a practical mindset toward automation and process optimisation. Exposure to SQL/Python and Atlassian tools would be advantageous.
• Strong attention to detail and a clear commitment to quality and control.
• Well organised, able to prioritise effectively and deliver to tight deadlines in a fast-paced, regulated environment.
• Confident communicator, able to work effectively with Group Finance and cross-functional stakeholders.
• Fluent in spoken and written English.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.