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 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

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We’re looking for an energetic, results-oriented, and data-driven Marketing Lead, EMEA to drive qualified pipeline growth across our EMEA region. You’ll lead regional demand generation programs that fuel awareness, engagement, and revenue, working hand-in-hand with Sales & Sales Development leadership, Partners, RevOps, Enablement, Brand, Field, and PMM teams.

Your superpower is taking global demand strategy and localizing it for the EMEA market—spearheading regional programs, optimizing the funnel, and ensuring alignment between marketing and sales to deliver measurable business impact. This role is both strategic and hands-on: you’ll think big about the long-term regional growth plan while rolling up your sleeves to execute high-performing, data-informed programs.

About the role:

• Location: London, UK (Hybrid)
  • 1-2 per week in-office
• Full-time
• Permanent
• Our cash compensation amount for this role depends on the cost of labor of the geographic area and career levels at Webflow and will be narrowed during the interview process based on a number of factors, including the candidate’s market location, job related experience, knowledge, qualifications, and skills. This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. 

• Application Information:
  • Application deadline: applications accepted on an ongoing basis until position is closed and filled
  • This posting is for a new position
• Reporting to the Director, Demand Generation

As a Marketing Lead, EMEA, you’ll …

• Own the EMEA Demand Strategy: Build and execute the regional demand generation strategy aligned with Webflow’s global GTM goals, focusing on driving high-quality leads, pipeline, and revenue through a combination of inbound, outbound, and field programming
• Run End-to-End Programs: Develop integrated campaigns across paid media, events, content syndication, email, and ABM channels to reach target audiences and accelerate the funnel
• Partner Cross-Functionally: Collaborate closely with EMEA Sales Leadership, Sales Development, Enablement, RevOps, and Global Marketing to ensure alignment on goals, metrics, and execution
• Optimize the Funnel: Analyze and continuously improve conversion rates throughout the funnel—from MQL to SQL to closed-won. Identify gaps, surface insights, and implement data-driven optimizations
• Localize Global Campaigns: Adapt global programs and messaging for EMEA markets, ensuring cultural and market relevance across key verticals and languages
• Measure What Matters: Monitor performance dashboards, communicate insights and impact regularly to around what’s working, what’s not, and actionable next steps, and maintain a living dashboard of KPIs tied to MQL, SQL, SAO (sales accepted opp), and revenue
• Be a Strategic Growth Partner: Contribute to the broader GTM motion, sharing insights from EMEA to influence global demand strategy and investment decisions
• Think Boldly, Execute Brilliantly: Combine creativity and analytical rigor to identify innovative demand tactics that stand out in the EMEA market
• Enterprise-Grade Execution: Ensure all programs align to enterprise-grade security, compliance, and brand guidelines; maintain polished collateral and messaging
• Experiment & Iterate: Design a rigorous test‑and‑learn roadmap with rapid A/B and multivariate tests; analyze results; iterate and scale winning experiments that improve full-funnel conversion
• Stay on the bleeding edge of Demand, Digital, and AI innovation: scanning the horizon for new tactics, platforms, and tools that can give Webflow a competitive advantage

About you:

Requirements:

• BA/BS degree or equivalent experience
• Bring 7+ years of B2B demand generation experience, ideally in SaaS or technology sectors, with proven success in EMEA markets and complex sales cycles
• Fluency in French, German or another major European language is a plus

You’ll thrive as the Marketing Lead, EMEA if you:

• Are data-driven and analytical, skilled at using CRM, marketing automation, and analytics tools (e.g., Salesforce, Marketo, Tableau, or equivalent)
• Understand B2B funnel metrics (MQL → SAO → SQO) and attribution modeling to inform decision-making
• Are actively running AI experiments and developing a fluency in AI-fueled workflows
• Excel at cross-functional collaboration and communication, working seamlessly with sales, partnerships, marketing, and operations teams
• Communicate with clarity—crafting compelling narratives and translating data into insights that resonate
• Bring a strategic mindset paired with hands-on execution—comfortable designing GTM plans and also getting deep into campaign operations
• Are results-oriented and motivated by measurable impact on pipeline and revenue
• Think globally, act regionally — adapting programs for diverse markets while maintaining brand consistency
• Thrive in a fast-paced, high-growth environment, balancing creativity with process and precision
• Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

Our Core Behaviors:

• Build lasting customer trust. We build trust by taking action that puts customer trust first.
• Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
• Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
• Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.

Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. 
• Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice. 

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.

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth, creative, analytics and regional marketing to drive revenue through self-serve and sales motions. We work globally, across all Stripe offerings and with all company segments - from startups to the largest enterprises.

What you’ll do

Stripe is seeking an SEO to lead the SEO strategy for Stripe Docs, in close partnership with the Global SEO Lead. This individual will play a key role in growing the SEO channel by developing and executing efforts to increase Stripe’s revenue and visibility. The scope includes on-site optimization, content development, international SEO, and technical SEO.

While the ideal candidate is well-versed in all SEO disciplines, sensibilities around user-experience, design, engineering, copywriting, data, product management, and marketing are also required. In this role, you will work closely with cross-functional partners, including Growth Marketing, Product Marketing, Content Marketing, Engineering, Developer Relations, Design, Product, and Analytics. 

Responsibilities

• On-site optimization: enhance the website’s content and structure to improve search engine rankings and user experience.
• International SEO: develop strategies to optimize the website for multiple countries and languages, driving global visibility and engagement.
• Technical SEO: address backend improvements to ensure the website is compatible and optimized for search engine technologies and LLM agents.
• Roadmap development: develop strategic plans outlining key SEO initiatives and timelines to achieve short-term and long-term objectives.
• Performance reporting: analyze and report on KPIs to track progress and identify opportunities for further enhancement.

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

• 4+ years of experience crafting and executing SEO strategies.
• Motivated self-starter with high attention to detail, strong follow-through, and the ability to problem-solve independently and carry out tasks with autonomy.
• Tech savvy and cognizant of developments in technology/fintech. 
• Deep expertise in researching and interpreting search queries for developer audiences.
• Basic experience with HTML, CSS, and other web programming acumens.
• Deep expertise in all disciplines of SEO, including technical, on-site, and off-site SEO.
• Ability to develop and prioritize content roadmaps to build net new pages that drive incremental business performance.
• Data-driven, and results-oriented leader that’s proficient in B2B and SEO performance data.
• Proven track record of building scalable systems to successfully execute SEO plans.
• Deep expertise in IA and site architecture.
• Ability to develop exhaustive creative briefs for cross-functional execution. 
• Excellent communication, presentation, and soft skills (written and verbal) to effectively evangelize and educate on SEO internally.
• Strong cross-functional collaborator with the ability to build relationships and simplify complex topics for partners. Must possess intermediate sensibilities in user-experience, design, engineering, copywriting, conversion rate optimization, data, product management, and marketing
• Ability to develop and prioritize roadmaps that successfully deliver on business objectives.
• Excellent international SEO skills.
• Strong experience creating performance reporting and measuring success.
• Ability to work extensively in Google Drive apps (Docs, Sheets, Slides), Excel, Looker, Tableau, Google Analytics and other reporting software.
• Experience managing stakeholders, with the ability to handle multiple work streams and requests from a variety of stakeholders, balancing each of them to deliver on the true north objectives of the channel and business.
• Strong experience using a variety of SEO tools, including Google Search Console, Google Keyword Planner, SEMRush, and ScreamingFrog.
• Proficient in professional English literacy.

Preferred qualifications

• Experience crafting SEO strategies to acquire technical users (i.e. engineers) and/or partnering closely with Developer Marketing or Developer Relations is highly preferred.
• In-house, enterprise SEO experience is highly preferred.
• Intermediate software engineering background.
• Experience in the following industries: payments, fintech, billing, accounting, tax, startups, enterprise business, and platforms.
• Experience optimizing YouTube video content for search. 
• Multilingual literacy is advantageous in any of: German, French, Japanese, Italian, and/or Spanish.
• Experience with localization / translation.
• B2B experience.
• SQL experience and ability to gather data.
• Experience with telemetry and web analytics.
• Bachelor's degree or 4 years relevant experience.

Who we are  

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Finance & Strategy (F&S) team is an integral thought partner to Stripe’s business leaders. We bring understanding and predictability to Stripe’s bottom line financials.  We work cross functionally to help steward Stripe’s resource investments to improve the durability of our long term financial performance.

What you’ll do

This role is on the EMEA F&S team. We partner with the EMEA business leads by providing data analytics, business insights and strategic recommendations to help the business optimize ROI and achieve long-term growth.

Responsibilities

• Work closely with EMEA business leaders to influence key strategic decisions
• Create frameworks to assess and influence business performance by country and segment
• Partner with other F&S teams on defining ROI frameworks to drive recommendations on resource allocations
• Support annual planning for the EMEA business
• Own reporting of leading indicators of business performance
• Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy
• Drive continuous process improvement, standardization, simplification and reporting enhancements

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

• 8+ years of work experience in FP&A, corporate planning, business finance, investment banking, consulting, PE/VC or similar.
• Experience executing finance processes (e.g. budget, forecast reviews, negotiations).
• Deep analytical rigour, able to find trends hidden in millions of data points.
• A self-starter capable of driving business results without significant supervision. You must be able to partner with cross-functional teams to unblock things.
• Solid business acumen, strong written and verbal communication skills (interacting with Stripe C-Suite).
• A proven ability to build strong collaborative working relationships with business partners.
• The ability to maintain high performance under tight timelines and a “roll up your sleeves” mindset to get any job done.
• The ability to bring structure to ambiguity and thrive in an unstructured, fast-moving environment.
• Solution-oriented mindset with enthusiasm for establishing best practices.
• Experience with SQL (intermediate/advanced skills are a must).
• Experience working with large and complex datasets.

You will also likely have (not required):

• Experience working with Sales teams, preferably in a high growth technology company
• Experience working closely with technical teams (Data Science, Data Engineering, Business Intelligence, etc)
• Experience working in a global capacity (this team interacts with all regions)
• Oracle, Anaplan, Tableau or other equivalent application experience

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe.

What you’ll do

Responsibilities

•  Provide a Gold Standard Experience to your assigned accounts’ key stakeholders
• Work with the wider Operations team to provide current state, resources and knowledge to enable Gold Standard Experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development
• Foster long term user relationships that grow loyalty to Stripe and Stripe products
• Work cross-functionally both internally and within your user’s organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption and global expansion
• Work closely with Customer Success and other user facing teams as part of a larger effort to support users on Stripe
• Lead user facing meetings both in person and through video chat
• Collaborate on the continued design of this support offering
• Create user-facing content for long term solutions

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

• Minimum 3 years experience in enterprise level client-facing work
• Strong product sense and energized by the challenge of solving difficult user related problems
• Strong written and verbal communication skills in English
• Ability to lead complex integration conversations in a highly consultative and proactive manner
• Familiarity with APIs and able to explain API concepts to Stripe’s largest and most technical customers
• Familiarity with SQL and is comfortable building basic queries and modifying more complex ones
• Strong technical troubleshooting skills and is comfortable interfacing with technical teams
• A professional, confident and collaborative personality; an adept client relationship manager, capable of engaging in business-level and technical conversations at multiple levels of the organization

Preferred qualifications

•  Operations savvy mindset, with an ability to identify and eliminate process friction while continuing to build scalable processes
• Experience practicing in small to medium scale project management
• Strong organizational skills and self-starting mindset
• Ideal experience with tools like Postman, xCode, Python, Webhooks, ETL 
• Ideal experience in the payments industry

Your Role

We’re hiring Senior Engineers to join one of our cross-functional product teams in our Human Performance group, which is focused on building cutting-edge solutions for athletes and sports teams that directly impact how they train, compete and achieve peak performance.

As a Senior Engineer, you’ll:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver full-stack web features. 
• Develop and deliver. Your team has the autonomy to make a meaningful impact across the entire product area, listen to customers' needs and deliver game-changing features to push the boundaries of what they can achieve. Your team is empowered to take ownership of the user experience to support our coaches and athletes.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete features, you’ll have the opportunity to propose solutions to more ambiguous technical problems and provide guidance to less experienced engineers.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects. 

This role requires 3 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Barcelona.

Must-Haves

• Experienced. You have either led or played a key role in developing large-scale applications.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. 

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. 

Your Role

We’re hiring Senior Engineers to join one of our cross-functional product teams in our Human Performance group, which is focused on building cutting-edge solutions for athletes and sports teams that directly impact how they train, compete and achieve peak performance.

As a Senior Engineer, you’ll:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver full-stack web features. 
• Develop and deliver. Your team has the autonomy to make a meaningful impact across the entire product area, listen to customers' needs and deliver game-changing features to push the boundaries of what they can achieve. Your team is empowered to take ownership of the user experience to support our coaches and athletes.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete features, you’ll have the opportunity to propose solutions to more ambiguous technical problems and provide guidance to less experienced engineers.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects. 

For this role, we're currently considering candidates who live within a commuting distance of our offices in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• Experienced. You have either led or played a key role in developing large-scale applications.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. 

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. 

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. 

What You'll Do

The ideal candidate is hungry to learn, excited to cross-functionally collaborate, driven to deliver optimal customer experiences, and is excited to learn from and teach others. Hightouch is still a startup, which translates to pitching in across the organization and wearing many hats as we grow. You will be excited for an opportunity that allows you to be an important member of an exceptional company, be willing to ask questions when you’re unsure, and take initiative when you’re passionate about a topic/solution/process.

Finally, you’ll need to be a self-starter, comfortable with ambiguity, willing to challenge the status quo, and a strong team player. Everyone at Hightouch plays an important role in our growth and this position is at the forefront of our efforts to drive an exceptional for every user. We’re of the firm belief that keeping customers promises is how we’ll win and we’re excited for this role to play an integral part of the customer journey.

What We're Looking For

• 2+ years in a customer-facing role
• Technical background either through experience or education
• Conversant in SQL or willing to learn the basics and a few more advanced topics
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition, and humility
• High proficiency in reading, writing, and speaking English
• Ability to adapt to an ever-changing work environment
• Thorough understanding of the technology industry and its players

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

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. 

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 

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

We are building the Finance team to help make data-driven and financially sound decisions for Scale. The Finance team is responsible for improving strategic, financial, and operational decisions by partnering with the leadership team in making critical decisions across Scale. 

The Finance team is responsible for owning the company’s budget, helping to drive quarterly and annual planning processes, allocating and deploying the company’s resources efficiently, and performing financial analyses in partnership with all departments. You will have a unique opportunity to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across Scale. The ideal candidate will not only have the technical skills to support their recommendations but also strong interpersonal skills to manage various stakeholders. We hope you'll join us!

You will:

• Serve as the Finance business partner to support the G&A and EPD leadership in quarterly and annual strategic and financial planning discussions
• Engage with the business to manage headcount and expense forecasts, own weekly and monthly financial reporting, KPIs, presentations, and other critical analysis requests
• Partner with Business Unit Owners to own and improve Hosting Infrastructure expense forecasting
• Evaluate investment strategies, facilitate ad-hoc analyses, and own special projects requiring complex financial models including, but not limited to:
• Support the launch of new product lines
• Assess new risks and opportunities for corporate initiatives (e.g. expanding operations into new locations, compensation philosophy, etc.)
• Drive internal initiatives to improve data infrastructure and reporting
• Partner closely with the accounting team during the month-end close process to ensure accurate general ledger and company-wide financial statement reporting
• Develop and maintain KPIs to assist with the decision-making that aligns with the company’s objectives 

Ideally, you'd have:

• 6+ years of financial analysis experience working directly in a Corporate Finance or a Strategic Finance role
• 2 years of investment banking or top-tier consulting experience
• Management experience preferred
• Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement
• Strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills 

Nice to haves:

• A Bachelor’s degree with a major in finance or accounting
• Experience in SQL and Business Intelligence tools 
• Experience with Anaplan and/or Adaptive Insights 

Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

Analyst – Performance & Emissions

We are seeking qualified applicants for the position of Analyst - Performance & Emissions to be based in London, UK. 

General Description:

The Analyst - Performance & Emissions will be responsible for monitoring and evaluating vessel performance against TCP warranties, using voyage reports and sensor data. Another key aspect of the role is to capture and analyze data related to VGC’s chartered Fleet’s international emission regulations and enable the day-to-day administration of emission reporting to relevant authorities.

This position will sit within the VGC Shipping Fleet Performance & Emissions Team, reporting directly to the Sr. Manager - Fleet Performance and Emissions, and will play a key role in enhancing value for VGC’s chartered fleet. Strong digital and analytical skills are essential for handling large complex data.

Key Responsibilities:

• Fleet Performance & Emissions Compliance System Development Support:Support the development of systems for monitoring, recording, and evaluating LNG fleet performance and emissions exposure.
• Regulatory Upkeep:Maintain records related to environmental regulations, ensuring data accuracy for submissions to classification societies.
• Performance Monitoring:Assist in monitoring vessel performance and highlighting underperformance against Charterparty warranties.
• Compliance Coordination:Monitor and report on emission compliance requirements, including deadlines and documentary evidence.
• Routing Evaluation:Utilize weather routing and voyage reporting services to assist in evaluating optimized ship routing.
• Analytical Support:Help develop and maintain analytical models to derive various performance and emission KPIs. In addition, there will be analytical needs from Shipping Operations, Chartering
• Platform Collaboration:Collaborate with IT on the development of a live monitoring platform for VGC chartered ships.
• Fleet Management Support:Actively support the management of the LNG carrier fleet through procedure development and software implementation.
• Stakeholder & Claims Support:Foster strong relationships with stakeholders and assist in LNG performance claims management.
• Ad-hoc Tasks:Provide supplementary support and complete tasks as requested by the line manager.

Experience & Skills

Essential

• Experience: Minimum 2+ years in Data Analytics or Data Science.
• Technical Skills: Proficient in Python, Databricks, SQL, Microsoft Power Platform, and Excel.
• Industry Knowledge: Solid understanding of the LNG supply chain, international maritime emission regulations, and LNG Time Charter Parties.
• Education: Bachelor’s degree or professional qualification in a complementary field (Data Science, Computer Science).

Advantageous

• LNG Shipping Operations: Familiarity with cargo scheduling, shipping operations, and LNG marketing.
• Maritime Tech: Experience with vessel design and technologies focused on efficiency and emissions reduction.

Soft Skills

• Data Storytelling: Translates complex findings into clear, actionable insights for any audience.
• Collaborative Partner: Bridges the gap between technical teams and stakeholders through active listening.
• Analytical Rigor: Combines critical thinking with high accuracy to validate results and challenge assumptions.
• Proactive Problem-Solver: Naturally curious; identifies patterns and takes initiative to optimize workflows.
• Project Ownership: Highly organized and accountable; manages multiple priorities in fast-paced environments.
• Adaptability: Thrives in diverse, cross-functional teams and pivots quickly as business needs evolve

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

#LI-Onsite

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

SLSQ427R253

As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.

• Engage with the partner technical community by leading workshops, seminars, and meet-ups.

• You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.

• Show expertise by producing creative technical solutions and blog posts.

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)

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 QRT's 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.

The Treasury function is the financing backbone of QRT, managing the firm’s funding, collateral, margin, cash balances, and counterparty relationships across geographies and asset classes. The Treasury Analytics team builds the data infrastructure and tooling that gives the desk visibility into financing costs, margin requirements, and cash movements. The systems we build direct inform how the firm deploys its capital.

Join our Treasury Analytics team in London as a Data Engineer, supporting and evolving the data infrastructure that powers Treasury's analytics platform, enabling the desk to analyse and optimise how the firm finances its positions in real time.

Role responsibilities

• Design, build and maintain data pipelines to ingest, transform, and serve Treasury data across multiple sources and analytics systems
• Develop and maintain analytical tools to optimise margin, collateral, cash balances, and financing positions across counterparties
• Build the datasets and APIs that power Treasury's analytics platform, enabling the desk to optimise financing costs, monitor counterparty exposure, and manage liquidity in real time
• Evolve the infrastructure as the desk grows by onboarding new data sources, adapting to new requirements, and improving performance and reliability over time
• Onboard new storage and modelling layers, leveraging the right frameworks for different workloads
• Collaborate with desk leadership, traders, and engineers to implement robust, maintainable solutions

Required experience and skills

• 3–6 years' experience building high-performance intraday data applications, ideally in financial services
• Strong SQL, Python, and data modelling skills
• Understanding of data storage formats and trade-offs
• Experience with query optimisation and performance tuning
• Experience with modern orchestration frameworks (e.g. Airflow), cloud platforms, backend web services and networking protocols
• Knowledge of streaming systems and real-time data applications a plus
• Strong technical communication skills and ability to work effectively with a variety of stakeholders

Location

London

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.

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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design. 

Examples of potential roles and projects include: 

• Quantitative Data Analyst 

Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale. 

• Data Engineer 

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

• Data Platform Engineer 

Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently. 

Your present skillset  

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 

• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills - you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process: 

• Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

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.  

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.

The successful candidate will join a growing Regulatory Reporting function at QRT, which sits within our Compliance team. You will work alongside the business, compliance, and IT teams. The Regulatory Technology Developer will assist the team in maintaining the integrity of the regulatory reporting processes for the firm and ensure that complete and accurate data is delivered to regulators within the prescribed timeframes.

Responsibilities:

• Your core objective is to manage and develop regulatory reporting systems and controls
• Develop and integrate automation solutions using Robotic Process Automation (RPA) tools
• Continuously assess regulatory reporting risks and developments to ensure changes are made in line with regulations
• Collaborate with cross-functional teams to ensure compliance with regulatory requirements and enhance the technological capabilities of the compliance function
• Ensure the continuous operation and optimization of existing regulatory reporting systems
• Develop and maintain data validation and quality assurance processes
• Identify areas for process improvements and implement solutions to enhance efficiency and accuracy
• Serve as a point of contact for technical support related to regulatory technology
• Engage with stakeholders to address queries and ensure compliance

Your present skillset:

• Polyglot developer with at least 8 years of experience, knowledge of Python is essential
• Understanding of SQL and working with databases
• Experienced in designing frameworks and tools from scratch
• Knowledge of the financial derivative products
• Experience with Robotic Process Automation (RPA) tools
• Strong analytical mindset with excellent problem-solving skills, able to tackle complex technical challenges
• Understanding of modern software architecture and cloud platforms
• Intellectual curiosity to learn new technologies
• Ability to think outside the box and improve technical implementation

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 QRT’s 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.

Your future role within QRT 

• Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT. 

• Contributing into software and infrastructure design and implementation in AWS cloud environment. 

• Developing data pipelines in Python using data libraries and cloud SDKs. 

• Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. 

• Optimizing performance of the data lake as well as OLAP databases in cross-region environment. 

• Ensuring data completeness and quality across critical pipelines. 

• Build and support tailored data solutions for Quants and Traders. 

Your present skillset 

• 5+ year of experience and proven track record of building data platforms. 

• Python and SQL mastery are essential. C++ is a big plus. 

• Appetite to contribute into cloud infrastructure. 

• Ability to build a structured approach to problem-solving. 

• Independent and autonomous while still a strong team player. 

• Intellectual curiosity to learn rapidly. 
• Finance experience is highly desirable. 

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.

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 QRT’s 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. 

Your future role within QRT 

The Risk team build and maintain tools to support risk analysis and reporting for QRT’s trading businesses. This includes close collaboration with Risk Managers, Quantitative Traders, and Quantitative Researchers, across multiple asset classes, to ensure robust and scalable risk infrastructure. This particular opportunity will provide significant contributions for our Fixed Income function. 

• Design, build, and maintain production risk analytics tools and data services 

• Develop and support data pipelines and reporting systems used by trading and risk teams 

• Partner with trading desks, risk, and operations to understand requirements and deliver solutions 

• Investigate and resolve data discrepancies, risk inconsistencies, and production issues 

• Improve system reliability, performance, and scalability 

• Contribute to the evolution of risk and analytics infrastructure 

Your present skillset 

• Fixed Income Knowledge 

• • Solid understanding of Fixed Income products, including bonds, interest rate swaps, bond futures, repos 

• • Experience working with trading desks and/or risk teams 

• • Understanding of Trade lifecycle; Risk measures (e.g. DV01, sensitivities, stress scenarios); PnL and key risk drivers 

• Strong Python development skills 

• Experience building and maintaining production systems 

• Solid understanding of:  

• • Data pipelines and data processing 

• • System design and debugging 

• Experience with SQL and databases 

• Familiarity with APIs and data integrations 

• 5+ years of professional software development experience with strong coding ability (Python preferred) 

• Experience in a systematic investment manager frim, trading firm, bank, or asset manager is preferred 

• Vendor or consultancy experience considered if combined with strong Fixed Income exposure 

• Desirable: 

• • Experience with distributed systems, cloud platforms, or orchestration tools 

• • Experience working in cloud-based environments (AWS preferred) and familiarity with services such as EC2, S3 and Fargate 

• • Exposure to containerisation, orchestration, and monitoring tools (e.g. Kubernetes, Grafana) and modern development environments (e.g. CI/CD, Coder) 

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. 

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 Market Data Services team in London as a Market Data Governance Associate, supporting the governance and delivery of market data across QRT, including vendor onboarding, due diligence, data controls, and reporting.

Your future role at QRT: 

• Support vendor onboarding and vendor due diligence
• Maintain and update the MDM market data inventory
• Maintain internal controls around data licensing and usage
• Ensure compliance with vendor agreements and licensing terms
• Identify and close compliance and data usage gaps
• Produce exchange and inventory reports (e.g., Bloomberg, LSEG)
• Interpret contracts and ensure operational alignment with commercial terms
• Support audits and control reviews from a data governance lens
• Drive data cleanup, control remediation, and process optimisation
• Collaborate with Legal, Finance and Tech teams
• Communicate clearly with technical and non-technical stakeholders 

Your present skillset: 

• Bachelor’s in Computer Science, Business, or related field
• 1+ years’ experience in market data or data ops, ideally with audit or compliance exposure
• Familiarity with licensing terms, vendor policies, and market data systems (e.g., Calero MDM, TRG Screen)
• Some experience with permissioning tools (e.g., DACS, EMRS)
• Proficiency in SQL, Power BI, Tableau, or AI tools is a plus
• Detail-oriented, analytical, and process-driven
• Clear communicator, comfortable working across teams and with vendors

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.

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.

Your future role at QRT: 

We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams.  

This position has a specialized focus as an SME for Equities, ETFs Reference Data and Corporate Actions. This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes.  

Your responsibilities will include: 

• Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for corporate actions, ensuring accuracy and operational efficiency. 
• Ensure the availability and quality of reference data for diverse asset types, with a particular emphasis on equities and corporate actions. 
• Partner closely with a variety of stakeholders and maintain alignment with business needs. 
• Validate systems and procedures related to reference data and corporate actions, ensuring robust trade/position checks and alignment with brokers and fund administrators. 

Your present skillset: 

• Deep understanding of equities, ETFs and their derivatives with regards to reference data and corporate actions 
• Advanced Python programming, design, and architecture. 
• Familiarity with SQL and relational databases. 
• Experience with C# is a plus 
• Knowledge of testing as part of continuous delivery and integration pipelines. 
• Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. 
• Fluency in English, both written and verbal communication skills  

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.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, 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.

You will work as a desk aligned developer supporting quantitative researchers and traders within Fixed Income. The role focuses on building applications that provide market data and analytics to support trading decisions. You will operate in a collaborative environment with fast delivery cycles and direct feedback from users, contributing to both application development and production system reliability.

Your future role within QRT

• Build applications that provide market data and analytics to support trading decisions
• Productionise financial models developed by researchers and traders
• Take ownership of production systems to ensure stability and alignment with business requirements
• Improve and extend software infrastructure to support evolving trading workflows
• Deliver features in collaboration with users, incorporating feedback into iterative development

Your present skillset

• At least three years of experience as a software engineer
• Strong Python development skills
• Experience working with relational databases and SQL
• Experience developing user interfaces using modern web technologies such as React and TypeScript
• Familiarity with cloud platforms such as AWS
• Ability to manage priorities and work effectively in a collaborative environment
• Ability to operate in a fast paced delivery environment
• Strong communication skills
• Experience working in a front office trading environment, particularly within Fixed Income, is beneficial

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.

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.

You will join the Infrastructure Database team responsible for managing and optimising large-scale database systems supporting research and trading activities. The team works closely with Quantitative Researchers, Developers, and Data Engineers to ensure reliability, scalability, and performance of critical data infrastructure.

Your Future Role within QRT
You will:

• Administer and maintain ClickHouse clusters in distributed environments
• Configure and manage replication, sharding, and distributed table architectures
• Operate and maintain ClickHouse Keeper or ZooKeeper
• Manage data lifecycle processes including partitioning, TTL, and merge operations
• Monitor database performance and troubleshoot issues in high-throughput environments
• Optimise query performance through indexing strategies, partitioning, and projections
• Manage system resources including CPU, memory, and disk I/O for database workloads
• Design and implement high availability and disaster recovery solutions
• Support database environments across production and non-production setups
• Implement and maintain access control, roles, and security policies
• Work with data ingestion pipelines including streaming and batch frameworks
• Contribute to database reliability, observability, and scalability improvements

Your Present Skillset

• 5+ years of experience in database administration in production environments
• Strong experience with ClickHouse in distributed or clustered setups
• Solid understanding of replication, sharding, and distributed database architectures
• Experience with ClickHouse Keeper or ZooKeeper
• Strong knowledge of performance tuning, monitoring, and troubleshooting
• Experience supporting high-ingestion and large-scale analytical workloads
• Proficiency in SQL and database design principles
• Experience with UNIX/Linux systems and system-level performance tuning
• Knowledge of high availability and disaster recovery strategies
• Familiarity with data ingestion frameworks such as Kafka or streaming pipelines
• Experience with PostgreSQL or SQL Server
• Strong attention to detail with a focus on testing and documentation
• Ability to work effectively in a collaborative environment

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.

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 Data team, responsible for providing high-quality reference data, internal and external reporting, and front-office analytics to support trading and research workflows. The team works closely with engineering, compliance, and quant stakeholders to ensure data flows are accurate, robust, and aligned with business needs.

Your future role within QRT

You will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.

• Design and develop scalable services to process and distribute reference data across asset types
• Automate life cycle events such as corporate actions and coupon payments across instruments
• Build and maintain systems for internal and external reporting (including end-of-day reporting, compliance, and regulatory)
• Develop real-time and batch reporting infrastructure for front-office consumption
• Collaborate with research and execution teams to align data pipelines with trading workflows
• Implement automated testing and maintain CI/CD pipelines for delivery assurance
• Contribute to systems integration between Python- and C#-based components

Your present skillset

• Expert-level Python development experience, with solid understanding of system design and architecture
• Proven experience working with C# in a production environment
• Familiarity with relational databases and SQL
• Understanding of testing strategies as part of CI/CD workflows
• Excellent communication skills and the ability to work collaboratively across teams

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.

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 QRT’s 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.

Your future role within QRT

• Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs
• Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
• Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
• Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
• Experience in finance is a plus
• Excellent communication skills

Your enhanced experience and learning opportunities at QRT

• Mentorship from industry professionals
• Detailed practical hands-on experience with portfolio management and analysis
• Contribution to high level decision making on global businesses
• Exposure to large scale data analysis technology
• Experience in a collaborative and collegial corporate environment

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.

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.

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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Developer at QRT, you will contribute to the engineering solutions that power our world-class quantitative research and trading, building the tools, platforms, and infrastructure that enable researchers and traders to operate at their best. You will be tackling projects that demand both technical depth and creativity. 

Examples of the projects you may work on include: 

• Trading Infrastructure & Low-Latency 

Build and optimize the high-performance systems that power QRT’s real-time trading. Contribute to low-latency infrastructure, execution logic, and live monitoring tools — where engineering performance directly impacts trading outcomes. These roles involve hands-on development in C++ or .NET, close to production and tightly integrated with live strategies. 

• Research Enablement & Platform Engineering 

Develop and optimize the platforms that power quantitative research across the firm. This may include scalable APIs, machine learning and data pipelines, orchestration frameworks, and shared infrastructure that accelerates research and experimentation. Collaborate closely with researchers to create efficient, reliable, and standardized environments for innovation. 

• Tooling & Workflow Automation  

Design and deliver internal tools used directly by traders and researchers on discretionary desks. Projects may involve streamlining workflows, improving data accessibility, and supporting real-time decision-making - all within the high-intensity environment of front-office operations. Work interactively with users to deliver intuitive, high-impact solutions. 

• Monitoring & Analytics Tools 

Build tools and dashboards to support the firm’s risk and oversight functions, enabling performance evaluation, risk monitoring, and investment oversight. Combine strong data processing and visualization skills with scalable infrastructure, and explore opportunities to integrate applied machine learning for deeper insights. 

•  Core Trading Systems (London only) 

Build and maintain the infrastructure supporting the development, testing, and deployment of trading signals in production. This includes tooling for signal generation, model evaluation, data ingestion, and analytics - enabling systematic trading teams to iterate, validate, and implement live trading logic efficiently and reliably. 

Your present skillset  

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 

• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in C++, C#, or Python. 

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills – you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process 

•  Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

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.  

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 QRT’s 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.

Your future role within QRT:

• Your role involves providing daily trading insights to multiple activities and asset classes within QRT.
• You will work with analysts, quants and other quantitative developers to build robust reporting and analytical tools, thus providing constant feedback on investment strategy performance to a few hundred researchers.
• Given the dynamic nature of the business, you will continually seek solutions that are both flexible and robust and which integrate seamlessly into the QRT technology landscape.
• Take ownership of production processes to ensure constant alignment with business objectives
• Continually expand and upgrade the software infrastructure to accommodate the changing business needs
• Adopt a systematic approach to all problem solving, allowing the firm to scale out

Your present skillset:

• A minimum of 3 years of experience as a software engineer
• C# and Python Language Experience
• Experience with React / MUI / AG-Grid / ECharts
• Comfortable with SQL
• Ability to multitask and work in a team
• Excellent communication skills and team player

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.

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.

Your future role at QRT: 

We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams.  

This position has a specialized focus as an SME for Derivatives - Reference Data and Lifecycle. This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes.  

Your responsibilities will include: 

• Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for derivative products, ensuring accuracy and operational efficiency.
• Ensure the availability and quality of reference data for different types of derivatives traded by QRT.
  Partner closely with a variety of stakeholders and maintain alignment with business needs.

Your present skillset: 

• 4+ years of work experience in a quantitative trading environment
• Deep understanding of derivatives (especially futures and options) with regards to reference data and the asset’s lifecycle events
• In depth knowledge of how derivatives are treated in different markets / exchanges.
• Advanced programming skills, with a drive for delivering strategic solutions.
• Programming language agnostic. Experience with Python or C# is a plus but should be willing to pick up.
• Familiarity with SQL and relational databases.
• Knowledge of testing as part of continuous delivery and integration pipelines.
• Excellent communication skills, and ability to collaborate effectively in a small, close-knit team.
• Fluency in English, both written and verbal communication skills

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.

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.

Job Description

As a Network Operations Manager, you will be a key pillar, focused on ensuring strong alignment with global card scheme requirements and supporting the continuous improvement of our payment operations. This role is designed for a subject matter expert who can navigate the sophisticated landscape of Visa and Mastercard regulations to support our merchants' international growth.

You will be instrumental in maintaining the integrity of our payment ecosystem. Your focus will be on refining our internal compliance frameworks and ensuring that our operational processes evolve in lockstep with scheme mandates. This is a high-impact role that combines technical rulebook mastery with strategic risk management, ensuring Mangopay remains a gold-standard partner for complex platforms.

Roles & Responsibilities:

Ecosystem Health & Scheme Alignment

• Program Optimization: Provide senior oversight for established scheme programs including established Visa and Mastercard monitoring and compliance programs, ensuring ongoing alignment with global standards.
• Strategic Remediation: Coordinate with cross-functional teams to coordinate internal remediation activities in response to scheme requirements, ensuring that portfolio health remains within scheme-defined performance buffers.
• Regulatory Intelligence: Maintain a comprehensive roadmap of scheme bulletins and mandates. Act as the internal partner and advisor for Legal and Product teams to ensure Mangopay’s infrastructure supports the latest industry requirements.

Advanced Dispute & Portfolio Advisory

• Dispute Framework Management: Oversee the technical application of VCR and Mastercard dispute rules, identifying opportunities to improve representation success rates across the network, support internal teams in improving dispute handling and representingment quality.
• Merchant Success Coaching: Provide high-level guidance on representment evidence and dispute mitigation for our most complex merchant partners.
• Risk Trend Analysis: Monitor and report on Monitor and report on key scheme performance metrics, identifying emerging trends and implementing proactive strategies to maintain excellence in portfolio performance.

Operational Excellence & Reporting

• Scheme Correspondence: Draft and manage formal communications with card schemes, ensuring all responses and submissions reflect Mangopay’s commitment to network integrity.
• Internal Capability Building: Act as a mentor and SME for Underwriting and Risk teams, ensuring that scheme compliance "by design" is embedded in our merchant lifecycle.
• Policy / Procedure Alignment: Interpret scheme rule changes and translate them into revised internal  policies and procedures
• Audit Governance: Manage internal records and audit trails for all scheme-related submissions, ensuring Mangopay is always prepared for external reviews or scheme assessments.

Experience

You are recognised for:

• 5+ years of experience in payment operations, scheme compliance, and/or network management within a high-growth Fintech, Acquirer, or major Scheme.
• In-depth Rulebook Knowledge: A proven track record of interpreting and applying Visa and Mastercard rules in a commercial environment.
• Analytical Sophistication: Ability to use data to tell a story and drive operational change. Proficiency in SQL and Snowflake is highly advantageous.
• Communication Mastery: Exceptional drafting skills for formal compliance correspondence and the ability to simplify complex regulations for non-technical stakeholders.
• Strategic Mindset: Experience managing high-stakes compliance programs and navigating the balance between commercial growth and risk mitigation.

Additional Information

• Stage 1: HR Talent Team interview
• Stage 2: Technical Interviews with Subject Matter Experts (Deep dive into Scheme Rules)
• Stage 3: Case study / practical assessment (Strategic compliance scenario)

Role Summary and Impact

Join an award-winning team at the heart of UK government, where your work will genuinely shape lives. As part of WPP 650 you’ll be part of a supportive, collaborative environment that values curiosity, kindness, and growth. Together, we use behaviour change principles to design smarter services, influence better decisions, and help millions of people across the country.

Named WPP 650, after the 650 UK parliamentary constituencies, the name is a reminder that our work must reflect the full breadth of the country, every community, every audience. No two days are the same. The challenges are complex, the problems worth solving, and the learning constant. You’ll tackle issues that matter, alongside talented colleagues who care deeply about what they do. It’s demanding – but always rewarding.

This is meaningful work with real-world impact – the kind you can point to with pride.  

As a Senior Manager, Data Engineering you will be joining the WPP 650 division of WPP Media’s Data, Technology and Analytics team.

This role involves leading client projects and overseeing the strategic development of solutions that aggregate diverse data sources into a single, unified view. You will act as a subject matter expert and strategic for our Measure data platform – a unified system for data connection, ingestion, transformation, and reporting – built on a robust technology stack including Adverity, GCP, and PowerBI.

You will be responsible for the strategic design and delivery of robust, scalable data engineering solutions that power critical insights and analytics for our diverse client base.

You will be responsible for establishing best practices, quality assurance processes and ways of working that ensure the reporting solutions we deliver are consistently accurate and meeting the needs of our clients. Your core focus will be on partnering with our clients to deeply understand their strategic objectives and challenges. You will also be responsible for fostering a high-performing and collaborative team culture between your direct report, the WPP 650 BI team, and the wider business.  

Skills and Experience

Key Responsibilities

• In partnership with the Senior BI Manager, design, build, and implement robust data engineering solutions and data pipelines, high standards for data quality, reliability, and performance.
• Serve as senior technical liaison and strategic partner to planning teams, client stakeholders, and cross-functional departments, translating business specifications into precise technical requirements for implementation.
• Design and enforce robust validation and auditing processes to ensure the highest levels of data integrity, consistency, and reliability across all platforms.
• Oversee the development and maintenance of data pipelines and data models to power dashboarding solutions delivered via the Measure platform, taking ownership of advanced data model design, dashboard deployment strategies, innovation, and change management.
• Lead initiatives to identify, evaluate, and integrate new data sources and technologies to enhance the Measure platform's capabilities and drive continuous improvement.
• Mentor and guide your direct reports on BI best practices, advanced data modeling, Power BI development, data governance, and effective client engagement.

Essential:

• Experience in designing, architecting, and implementing complex data integration strategies, transforming disparate datasets into unified, high-value data models for advanced analytics and visualization.
• Extensive experience with cloud data platforms, specifically Google Cloud Platform (GCP) services.
• High proficiency in SQL for data manipulation, transformation, and analysis, with an emphasis on optimization and best practices.
• Demonstrated experience in designing, building, and maintaining complex and scalable data pipelines (ETL/ELT).
• Experience with data transformation tools like dbt.
• Experience working with data ingestion tools like Adverity.
• Deep understanding and practical application of data modeling techniques.
• Extensive experience working with digital marketing, media campaign data, ad serving technologies, and/or web analytics data, with the ability to guide a team in this domain.
• Excellent communication, interpersonal, and stakeholder management skills.
• Strong strategic thinking, project management, and problem-solving abilities, with a focus on delivering impactful, high-quality solutions.

Desirable:

• Experience working with dashboarding tools (PowerBi preferred)
• Proficiency in a scripting language like Python.
• Exposure to CI/CD practices for data pipelines.
• Experience with project management tools such as Jira and Confluence.
• Basic understanding of data governance principles.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. 

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

THE ROLE

As a Senior Data Analyst in NextEnergy Group’s Data & AI team you will lead geospatial analytics projects, mentor junior analysts and deliver high-impact insights across climate, nature and social themes. You will partner with the Environmental Social Governance (ESG) Team and wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high quality visualisations, you will strengthen the organisation’s evidence base for ESG reporting and decision making. By delivering actionable insights to stakeholders you will be supporting the company’s digital transformation and sustainability goals.

This role is central to our strategy to become a data-driven, technology-led and AI-infused enterprise.

KEY RESPONSIBILITIES

• Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight for senior stakeholders.
• Reporting & Visualisation: Design, build and maintain dashboards, web applications and high‑quality cartographic outputs (ArcGIS Online, ESRI), ensuring spatial data is visualised clearly, accurately and in line with best‑practice data storytelling for both operational and strategic reporting.
• Mentorship & Best Practice: Champion geospatial data quality, governance and continuous improvement by managing spatial databases, standardising workflows, documenting processes and mentoring junior analysts, fostering a culture of technical excellence, knowledge sharing and continuous learning
• Data Collection & Management: Working with Data Engineering & Data Governance when relevant, own and actively manage spatial and ESG‑related datasets for analysis, ensuring data quality, integrity and compliance with GDPR and other regulation
• Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability
• Collaboration: Work closely with business stakeholders across the group to understand requirements, deliver solutions and support cross-functional projects
• Documentation & Knowledge Sharing: Consistently document geospatial methodologies, analytical workflows and outputs, producing clear guidance and process documentation to support transparency, reproducibility and effective knowledge sharing across the wider team.
• Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements.
• Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools/

SKILLS & COMPETENCIES

To be successful in this role, you will demonstrate:

• Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake)
• Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner
• Analytical & Problem Solving: Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality
• Business Acumen: Understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS
• Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects
• Time management & prioritization skills- things can get a little hectic, so the ability to effectively manage yourself and your workload is critical
• Excellent communication skills in English (additional European languages are a bonus) - you must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non-technical stakeholders. You will be expected to together well-written, grammatically correct emails and other communications. When communicating verbally
• Flexibility- being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description.
• Intellectual Curiosity – we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team.
• Delivery focus – it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters
• Passion for our mission ‘to generate a more sustainable future by leading the transition to clean energy
• Our values: be a leader, build trust, be responsible, be innovative and ‘bring your alpha’.

EXPERIENCE & QUALIFICATIONS 

• Bachelor’s or Masters degree in Geography, Geographical Information Systems (GIS) or relevant environmental or technical field or alternative relevant educational achievements (e.g. apprenticeships, arts degrees + work experience)
• 4-6 years of experience in data analytics or a similar role
• Dashboard design (PowerBI & Thoughtspot), remote sensing and image processing skills in context of environmental applications and assessment desirable. 
• Experience in geospatial data management and data engineering.
• Experience with ESRI products, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, Story Boards.
• Familiarity with CAD based software (e.g. AutoCAD), Web-based GIS technologies, coding (Python, R) as well as other desktop GIS software (e.g. FME, QGIS). 
• Experience in renewables/environmental/social assessments and across development, construction and operation stages.
• The right to work in the UK or Italy

WHAT WE OFFER

• A busy role in a supportive team, with plenty of opportunities to learn
• International scope – we operate in over 8 countries
• Hybrid working 
• Competitive base salary and annual discretionary bonus.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. 

By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice.

DIVERSITY AND INCLUSION

Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be.

We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity.

ABOUT US

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). 

NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds.

• NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m.
• NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target.
• NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target.
• NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised.
• NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling).

WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector.  

Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. 

NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. 

NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.

Role: Data Engineer

Location: London office / Hybrid (2 days per week in the office)

Reporting to: Head of Data Engineering

The Role

Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers.

You’ll be joining our growing Data Engineer & Infrastructure team - a collaborative, high-performing group of engineers that uses this data to build the infrastructure that powers the UK’s favourite property site.

This is a hands-on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient.

You take pride on executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our Products across the entire business.

This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day.

What You’ll Be Doing

• Build and manage data pipelines that ingest, transform, and serve data across the business
• Contribute to the design and implementation of cloud-based infrastructure using Terraform
• Work on complex data challenges, balancing short-term delivery with long-term platform evolution
• Collaborate with data product owners and stakeholders to collect and refine data requirements
• Optimise data storage, infrastructure performance, and cost within our data platform
• Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery
• Collaborate with analytics engineers, analysts, and data scientists to support their data use cases
• Contribute to the evolution of our self-serve data platform and the implementation of our data strategy
• Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
• Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability
  
  

We're Looking For Someone Who

• Has 3–5 years of proven experience in data engineering, working on production-grade data pipelines and infrastructure within a large-scale, cloud-based data platform
• Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker)
• Has strong Python coding skills and is confident writing complex SQL queries
• Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform
• Has hands-on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue)
• Experience with dbt and understands data modelling principles and best practices
• Deep understanding of data storage, modelling, and orchestration concepts
• Has demonstratable experience setting up and managing data pipelines end-to-end
• Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
• Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events
• Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
• Experience working with version control (Git) and CI/CD practices
• Awareness of data quality, privacy, and security best practices
• Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines

About the role:

We are looking for an experienced Compliance Product Support Engineer to join our Global Technical Support organization. This role is designed for a technical leader who thrives on solving the most challenging escalations at the intersection of regulatory law, IOT systems, and data integrity.

Our customers rely on Samsara to comply with the workplace safety requirements established by the Department of Transportation (DoT/FMCSA) to help create a safer work environment for drivers, and make it easier and faster to accurately track, manage, and share records of duty status (RODS) data. You will serve as the primary technical authority for the software components associated with the ELD compliance product. You are the critical bridge between our customers, field teams, and R&D, ensuring that our product maintains 100% accuracy in recording Hours of Service (HOS) and Records of Duty Status (RODS).

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Serve as the final escalation point for intricate ELD compliance product for post-sales customers.
• Own the end-to-end lifecycle of complex product issues, coordinating Possible issues and Jira tickets with R&D to drive timely fixes and clear stakeholder visibility.
• Analyze device telemetry and fleet-level patterns using internal tools, translating raw data and logs into clear, actionable technical narratives.
• Provide technical support for audits & inspections in collaboration with our Escalations, Product and Legal teams
• Drive continuous product improvement by leading post-mortem analyses to identify root causes, systemic issues, key learnings, and actionable trends.
• Collaborate with Support and R&D teams to resolve customer issues and escalations, using support trend analysis to develop superior customer solutions.
• Lead technical feedback for new products to ensure supportability and ease of customer understanding.
• Define success criteria, validation plans, and operational runbooks for new feature launches, ensuring global support team readiness.
• Develop or contribute to internal tools to significantly accelerate ticket resolution and trend analysis.
• Elevate the organization's technical expertise by providing technical coaching and conducting case reviews for support engineers.

Minimum requirements for the role:

• B.S. in Computer Science, Engineering (Mechanical/Electrical), or other technical field.
• 6+ years of experience in technical support, field engineering, or systems engineering, specifically with distributed, hardware-integrated products.
• Familiarity with ELD related rules and regulations.
• Excellent customer service and interpersonal skills coupled with the ability to influence individual contributors and leaders across the company.
• Excellent written and verbal communication skills, you can speak at technical and conversational levels.
• Technical know-how - you’re comfortable interfacing with engineers, translating complex technical concepts into everyday language, and working with SaaS systems.
• Demonstrated strong resourcefulness, creativity, and problem-solving skills.
• Adaptability and ability to thrive in a fast-paced, dynamic work environment.
• Experience in direct customer interaction, incident response, and participation in a rotational after-hours/on-call support cadence is essential. 

An ideal candidate also has:

• Experience with fleet regulatory requirements for compliance.
• Experience in Telematics industry is a plus.
• Data Analysis skills; Python, SQL and Tableau.

The role

We are looking for a Senior Data Analyst to become the first analytics hire in Capacity Management and build a data-driven foundation for how we plan and operate infrastructure.

Today, many critical decisions rely on expert judgment. Your mission is to change that - by introducing clear metrics, reliable observability, and forward-looking models that guide decisions across engineering, product, and business.

You will work directly with the Head of Capacity Management and operate with high autonomy across the entire capacity domain.

What you will do

Build observability into capacity

• Define and own key metrics for availability, utilization, and capacity health

• Build dashboards that reflect the real state of the system, not a simplified view

• Replace manual and fragmented reporting with reliable, scalable data products

Own forecasting and demand modeling

• Develop rolling forecasts across regions, clusters, and products

• Identify early signals of shortages and imbalances

• Turn uncertainty into quantified scenarios

Drive decision-making

• Support decisions on data center expansion, resource allocation, and product constraints

• Model trade-offs (e.g. resource ratios, allocation strategies, demand shifts)

• Bring clarity and structure to ambiguous, high-impact problems

Scope & impact

• Operate across ~a dozen regions, multiple clusters, and tens of thousands of GPUs

• Influence decisions on infrastructure scaling, product allocation models, and business priorities

• Become a key partner to engineering, product, and business teams

We expect you to have:

• Proven Experience: 5+ years of experience in data analytics, data science, or related fields, ideally in high-scale or infrastructure-driven environments

• Strong ownership: ability to independently drive problems from framing through analysis to actionable recommendations

• Technical proficiency: solid SQL and Python for data analysis, modeling, and working with large datasets

• Data product experience: hands-on experience building dashboards and data products (Grafana, DataLens, or similar BI tools)

• Operational mindset: ability to work effectively in evolving, imperfect data environments with incomplete information

• Decision-making under ambiguity: comfort operating in high-speed environments with shifting priorities and unclear inputs

It will be an added bonus if you have:

• Experience in infrastructure, cloud, or capacity-related domains

• Background in forecasting, time series analysis, or demand planning

• Understanding of statistical methods and practical judgment on when to apply them

• Experience in high-growth or startup environments

• Proficiency in Russian is a plus

📍London | 💰£60,000 -  £66,000 (depending on experience) ➕ Incentive Awards tied to your performance ➕ Benefits | Hear from the team ✨

⭐ Our Regulatory team

We are looking for a curious, adaptive and data-focused Senior Regulatory Reporting Analyst with a strong attention to detail to join our regulatory reporting team at Monzo. The team is responsible for understanding our prudential regulatory reporting requirements, working on projects and submissions relating to these and collaborating with teams across Monzo.

🔑 You’ll play a key role by…

• Taking ownership of the preparation, analysis and submission of regulatory reporting requirements (e.g. Capital, Liquidity)
• Ensuring compliance with the applicable regulatory interpretations
• Assisting the wider team in producing Monzo’s capital and liquidity regulatory reporting and disclosures (including Pillar 3)
• Executing and improving the controls required to ensure regulatory reporting is timely, accurate and complete
• Ensuring high data quality by performing data profiling and investigating data quality issues
• Using data visualisation tools to build dashboards and facilitate sign-off and useful insights
• Partnering with teams internally to help them make informed business decisions and providing input into new product launches
• Designing brilliant ways to automate your work and leverage technology to ensure we scale with the business

🤩We’d love to hear from you if…

• You have a good understanding of capital requirements, liquidity reports and regulatory frameworks
• You’re excited by data and have a sharp eye for detail
• You have knowledge of coding languages (SQL would be a bonus), although a willingness to learn is just fine 
• You have strong analytical skills, high attention to detail and the ability to meet tight deadlines
• You want to automate or enhance recurring processes, particularly by leveraging technology, and implement changes in collaboration with IT and regulatory change teams.

🙌What’s in it for you

💰 £60,000 - £66,000 ➕ Incentive Awards tied to your performance

📍 This role is based in our London office

⏰ 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.

🌈 The application journey has 4 key steps:

• Phone call with recruiter
• Initial call with hiring manager (30 mins)
• Technical interview with hiring manager and team member (45 mins)
• Monzo behavioural interview (45 min)

This process should take around 3 - 4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out.

#LI-NZ1

Job Description

The PM - Payment Network is a technical role within the Product team dedicated to maximizing the health and efficiency of Mangopay’s payment processing network. As our payments volume grows, this role ensures that our technical performance matches our innovative product suite.
You will also work closely with our payments partners to ensure all Mangopay clients are compliant with card processing standards.

Roles & Responsibilities:

Authorization & Performance Excellence

• KPI Management: Own the optimization of authorization rates, fraud-to-sales, and chargeback performance through advanced data monitoring and performance tuning.
• Issuer and payment partner Liaison: Manage relationships with key ecosystem participants and issuers to troubleshoot authorization bottlenecks and improve global acceptance rates.
• Deep-Dive Analytics: Utilize internal data tools to identify systemic improvements in the payment path, reducing friction for merchants and cardholders.

Technical Data Integrity & Mandates

• Data Stewardship: Oversee processes ensuring that clearing and settlement data across our network meets the highest levels of accuracy and scheme compliance.
• Technical Execution: Lead the technical implementation of specific card processing needs for 3DS, tokenization, and authorization messaging, partnering with Product teams to ensure timely delivery.
• Roadmap Management: Track and socialize technical deadlines for payment partner-driven changes, ensuring Mangopay’s infrastructure is prepared for upcoming industry shifts.

Technical Governance & Security Compliance

• PCI-DSS Leadership: Manage the end-to-end validation process for merchant SAQ and RoC submissions, ensuring the continued security of our processing environment.
• Compliance Reporting: Submit bi-annual technical reports and manage the relationship with Qualified Security Assessors (QSAs) during recurring audits.
• Incident Response Coordination: Provide technical expertise during security reviews or breach response scenarios, ensuring all scheme reporting obligations are met with precision.

Experience

You are recognised for:

• 5+ years of experience in technical payment operations, payment engineering, or technical compliance for a major PSP or global acquirer.
• Technical Breadth: Deep understanding of ISO 8583, 3D Secure frameworks, and the technical mechanics of the authorization and settlement lifecycle.
• Security & Compliance Expertise: Strong background in PCI-DSS governance and a history of successfully managing technical audits.
• Data-Driven Problem Solving: Expert ability to monitor and analyze payment performance data; professional experience with SQL and Snowflake is required.
• Cross-Functional Influence: Proven ability to lead complex technical projects that require collaboration between Treasury, Engineering, and Security teams.
• Relevant Certifications: PCIP, CISA, or similar technical certifications are a plus.

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.

📍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.

Time commitment: 1 FTE       

Location: Hybrid working in our London office (3 days Mon/Wed/Thu, 2 days remote) preferred, with some flexibility based on individual needs. We are at 140 Borough High Street, SE1 1LB

Reporting to: Mark Jenkins, CEO

About Paloma

In 2024, our founders, Mark and Darshak, were shocked to find that children needing an NHS autism or ADHD assessment were waiting 4-10 years for these assessments. Delayed assessments result in children being more likely to develop mental health conditions and fall behind in education. Furthermore, the much-needed pre/post-assessment support (outside of ADHD medications) is typically not funded by the NHS. 

These long waits have built up due to increased recognition and understanding of neurodevelopmental conditions and a lack of investment and innovation within the NHS to meet the growing demand.

Mark and Darshak, with their 25 years of combined NHS experience, including building services that have treated over 1,000,000 patients in obesity & ophthalmology, founded Paloma to change this. Our mission is to make NHS autism and ADHD assessments and care accessible within 4 weeks of a GP referral, and, in turn, help every child achieve their potential.

As of May 2026, we have successfully reduced waits to 3 months by;

• Taking a product-first approach to redesign the care pathway to give families a more consumer-like experience of care
• Our in-house product, engineering and AI team building our own autism and ADHD specific electronic patient record and AI documentation tool to free clinicians from their significant documentation burden to re-focus on supporting families
• Investing in expanding the clinician workforce and upskilling them in new ways of working

We are proud that Paloma is:

• Loved by families, with 4.9 out of 5 Trustpilot and Google ratings
• Care Quality Commission (CQC) registered and quality-focused
• Clinically-led, with a team of 130 people, including over 80 clinicians supporting families through their assessment journey. We are hiring 100+ more roles over the next 12 months.
• A community of passionate, mission-driven and innovative team members who challenge the status quo and test and learn from new ideas and approaches.
• Backed by leading healthcare investors Triple Point and Heal Capital

What’s next?

• Whilst we have reduced wait times, it is estimated that up to 500,000 children are still waiting for an NHS autism or ADHD assessment. We won’t rest until this comes down.
• We want to build new services to support families and children diagnosed with autism or ADHD who feel lost after their assessments when the NHS is no longer there for them.

The Opportunity

We are looking for a commercially astute and data-driven Finance & BI Lead to partner with our co-founders (our CEO and Exec Chair) and lead Paloma’s Finance & BI function through our current rapid growth.

You will build a first-principles financial understanding of our organisation to support our functional leaders in achieving their goals and budgets, and partner with our co-founders to create those budgets and report to our Board and investors. 

You will lead our BI team, ensuring robust internal and external reporting to our NHS partners.

You will line manage a team of three: a Central Operations Associate, a Business Intelligence (BI) Analyst, and a BI Associate, and take on management of our outsourced accountant.

This role offers unique finance & BI leadership responsibilities that will directly impact our ability to reduce autism and ADHD wait times for families. With success in the role, you can progress to our Head of Finance & BI.

About you

You are someone who loves high-growth situations, where you can make a positive difference in the world. From a skills perspective, you are:

• A 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 and 100% accuracy-focused
• 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
• You want to be part of an always-learning environment that embraces software and AI tools, and you will help us go further and faster with your positive and collaborative attitude.

Responsibilities:

Within Finance:

• Stakeholder partnership: Build strong relationships with senior managers, understand their functions, and become 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 cases: Evaluate efficiency initiatives and commercial opportunities with a targeted focus on driving ROI
• Forecasting/Budgeting: partnering with our co-founders and VP Operations, generate reliable, data-driven forecasts whilst proactively challenging assumptions
• Formal reporting: Lead the month-end and year-end process in partnership with our outsourced accountant, ensuring a high level of accuracy and helping the Exec and Board understand their performance through data
• Cash management, payments and forecasting: Lead on our cash management and payments, including payroll and suppliers

Within BI:

• Setup: Partner with our VP of Engineering to ensure robust data pipelines from our Data Warehouse
• Internal reporting: Support all functions with commercial and operational data
• External reporting: Ensure Paloma delivers all NHS reporting on time to a high standard

Overall:

• Mentoring; Support in the coaching and development of your team, 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

Qualifications and experience:

Required:

• A qualified accountant with 3 years of post-qualification experience
• Proven experience in a fast-paced environment managing simultaneous deadlines
• Demonstrated business impact, for example, coaching leaders to achieve budgets
• An aptitude for managing large/complex datasets – a good working knowledge of Google Workspace tools is required, whilst SQL exposure would be advantageous
• The independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time

Desirable:

• Experience in tech-enabled healthcare services

Why join Paloma?

You will be part of a mission-driven organisation that’s transforming access to autism and ADHD care in England. For all employees, we offer:

• A strong and positive culture that prioritises team building, transparency, and career development. This includes protected time and budget for team connection and learning.
• Comprehensive compensation, including:
  • Salary of £85,000 per year
  • Annual salary reviews, ensuring they are competitive
  • 5% employer pension contribution
  • Equity compensation through Share Options in Paloma Health 
  • Private Medical Insurance and Employee Assistance Programme
  • Home Office Equipment Allowance
  • Professional Registration Fees Allowance
• A unique annual leave benefits package which includes:
  • 37 days of annual leave. This is 28 standard days, plus eight bank holidays, plus your birthday off.
  • Option to buy an additional 5 days per year (giving a maximum of 42 days)
  • Where required, 2 days per year of special leave, for events that can happen in life, whether personal or family-related
• Additional benefits include:
  • A premium performance company laptop
  • NHS discounts, including the Blue Light Card (as we are an NHS provider)

Equality & Diversity

Paloma Health is an equal opportunity employer committed to diversity and inclusion in the workplace and throughout the application process. We do not discriminate based on any protected characteristic.

Accommodations

We’re glad to accommodate candidates who need adjustments throughout the hiring process. We encourage you to be open about the adjustments you need, so we can adapt our interview process accordingly.

Safer Recruitment & Pre-Employment Checks

Paloma Health ensures that supporting people to be safe is at the heart of our work and a key priority across all areas of the organisation. As part of our pre-employment checks, you will be asked to complete a Disclosure and Barring Service (DBS) check. Depending on your role within the business, this will be at either an Enhanced, Standard, or Basic level. We are committed to safer recruitment practices and expect all applicants to share our dedication to safeguarding. Our recruitment processes are designed to ensure we appoint individuals who align with our values and will help maintain a safe and supportive environment for everyone we work with.

Application process

Please apply via our website. We understand that applying for a new job requires significant effort, and we appreciate your time. We look forward to reviewing your application.

Join us and be part of our journey to revolutionise access to NHS autism and ADHD care!

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.