Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a creative, collaborative, and highly motivated Machine Learning Intern to help develop applied machine learning capabilities using real-world mobility and behavioral data. This internship is ideal for someone who enjoys solving ambiguous problems, building practical ML workflows, working with messy real-world datasets, and translating technical findings into clear recommendations.

The intern will work on a 12-week applied ML project involving data exploration, labeling strategy, feature engineering, model development, evaluation, and stakeholder-facing analysis. The ideal candidate has strong Python skills, a solid foundation in machine learning, strong initiative, and the ability to make progress in open-ended problem spaces.

Responsibilities:

• Explore real-world mobility datasets and identify useful behavioral, temporal, contextual, and aggregate patterns
• Help define practical data labeling guidelines, quality criteria, and edge-case handling rules
• Build and validate datasets for supervised machine learning experiments
• Develop baseline and improved ML models using Python and standard data science workflows
• Perform feature engineering, model evaluation, error analysis, and iteration
• Assess model performance across relevant data segments and edge cases
• Summarize findings, limitations, risks, and opportunities for technical and product stakeholders
• Produce clear documentation, analysis reports, and final recommendations

Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Applied Math, or a related quantitative field
• Strong Python programming skills and comfort working with real-world datasets
• Solid understanding of supervised machine learning, feature engineering, classification metrics, train/test splits, and error analysis
• Experience with common Python data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or similar tools
• Strong analytical and problem-solving skills, with a bias toward initiative and ownership
• Clear written and verbal communication skills, including the ability to explain technical findings to non-technical stakeholders

Compensation and Benefits:

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

The opportunity

Altruist is hiring an experienced Product Marketing Manager to support our Investment product suite. This is an individual-contributor role reporting to the Director of Product Marketing. In close partnership with Product, Design, Sales, and other cross-functional teams, you will own end-to-end GTM strategy for key platform launches and lead stakeholder alignment and approvals.

This is a hybrid role based out of our San Francisco FiDi office, with three days per week in the office.

What you'll do

• Customer and market insights: Own qualitative, quantitative, and competitive research; translate insights into clear ICP definitions, segmentation, and actionable GTM strategies.
• Positioning and messaging: Develop positioning frameworks, value propositions, and messaging for core products and platform capabilities; ensure consistency and clarity across all customer-facing touchpoints.
• Launch management: Lead end-to-end GTM planning and execution for new features and product initiatives; partner with Design to produce high-quality launch and sales assets; manage stakeholder reviews and approvals.
• Growth and lifecycle programs: Partner with Product and Marketing to design and execute prospecting, onboarding, and lifecycle programs across web, email, webinars, and events; continuously experiment to reduce time-to-value and increase adoption.
• Measurement and optimization: Partner with Product and BI to define success metrics, build dashboards, monitor performance, and quickly act on insights to improve KPIs.
• Thought leadership: Collaborate with Comms and Content to develop narratives, POVs, and content that reinforce Altruist’s product leadership and differentiation.
• Sales enablement: Equip Sales and customer-facing teams with compelling collateral such as one-pagers, pitch decks, and case studies; create feedback loops to inform product and marketing strategy.

What you'll bring

• 3+ years of experience in B2B product marketing in high‑growth, late‑stage startups.
• Curiosity: you ask “why” and back your answers with data.
• Hustle: you are proactive, thoughtful, organized, and get things done. You ship, learn, iterate and run flawless, well-organized GTMs from planning to post-launch.
• Partnership: you bring a clear POV, influence respectfully, collaborate for the greater good, and pull in the right teams at the right time.
• Communication: you communicate clearly with internal and external audiences and can turn complex concepts into easy to understand and compelling marketing assets.

OVERVIEW

Rubrik is one of the fastest-growing enterprise cybersecurity firms ($1.5B in ARR, growing at 34% YoY), and we are looking for a visionary Senior Director of Sales Strategy and Operations to lead our EMEA and APAC regions. Reporting to the VP of Global Sales Operations, you will serve as the strategic right hand to the EMEA/APAC General Manager. You will be responsible for the design and execution of a world-class GTM infrastructure that scales with our rapid growth across diverse international markets. This is a high-impact leadership role that sits at the intersection of strategy, finance, and regional sales execution.

WHAT YOU’LL DO

• Strategic GTM Leadership: Define and lead the EMEA/APAC sales strategy, providing the EMEA GM and executive leadership with data-driven insights to optimize regional investment and market expansion.
• Territory & Capacity Architecture: Lead the annual and long-range planning process for the EMEA theater, overseeing complex territory design, headcount capacity models, and multi-country market segmentation.
• Incentive & Quota Strategy: Design and govern a repeatable, data-driven quota allocation process across multiple currencies and regions, ensuring alignment between corporate financial targets and field motivation.
• Operational Excellence: Own the EMEA/APAC "Rhythm of the Business," including the regional forecast process, Quarterly Business Reviews (QBRs), and pipeline hygiene, ensuring high predictability across a diverse sales landscape.
• Cross-Functional Orchestration: Partner with Global Ops, Finance, Marketing, and HR to ensure EMEA’s specific regional needs are represented in global systems and process rollouts.
• Team Leadership: Build, mentor, and lead a high-performing team of regional Sales Operations professionals, fostering a culture of excellence and analytical rigor.

REQUIRED TRAITS

• Executive Presence: Exceptional ability to influence and challenge senior leaders; you are comfortable being the "voice of truth" in the room.
• Global Mindset: Deep understanding of the nuances of the EMEA/APAC market, including diverse labor laws, currency impacts, and cultural business practices.
• Strategic Architect: You don’t just report on the business; you identify the systemic levers that will drive the next $3B in revenue.
• Operational Resilience: Proven ability to maintain a steady hand in a hyper-growth, high-stakes environment while managing competing global and regional priorities.
• Change Agent: Experience leading large-scale organizational transformations and system implementations across international borders.

REQUIRED SKILLS & EXPERIENCE

• 12+ years of experience in Sales Operations or Business Operations within a high-growth SaaS or enterprise software environment.
• 5+ years of leadership experience, specifically managing teams in an international/EMEA/APAC capacity.
• Mastery of the Tech Stack: Expert-level knowledge of Salesforce, Clari, and Pigment (or similar SPM tools); experience leveraging AI/ML for predictive forecasting is a plus.
• Quantitative Rigor: Advanced financial modeling skills and a track record of using data to drive significant ROI in sales productivity.

Education: Undergraduate degree required; MBA or equivalent advanced degree highly preferred.

📍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.

Associate – India (Ammonia & Industrial Decarbonisation)

Location: New Delhi, India
Contract: 12-month fixed-term contract, with path to permanent employment

Our Energy Platform designs and implements corporate and country decarbonisation strategies, promotes emerging clean technologies and green technology clusters, and supports the global energy transition at speed and scale. With a growing footprint in India, we are working at the forefront of one of the world’s most consequential energy transitions.

With around 350 people across offices in London, Amsterdam, Berlin, Jakarta, Paris, São Paulo, Nairobi and New York, we are a diverse, mission-driven team united by a shared conviction to accelerate the transition to a sustainable global economy.

Role Overview

Systemiq is seeking a motivated and analytically strong Associate to support the delivery of a flagship initiative aimed at catalysing India’s first wave of low-emissions ammonia investment and accelerating the decarbonisation of the fertiliser sector.

This role sits at the intersection of research, analysis, and stakeholder engagement. The successful candidate will work closely with the Programme Director and Systemiq’s global teams to contribute rigorous analytical outputs, support stakeholder processes, and help build the evidence base for market-shaping decisions.

Working alongside the Programme Director and local partners (including CEEW), the Associate will contribute to both day-to-day delivery and longer-term programme strategy — building skills in energy systems analysis, coalition management, and climate policy.

This is an excellent opportunity for a professional with 3–6 years of experience who is eager to deepen their expertise in industrial decarbonisation and contribute to one of India’s most important climate transitions.

Key Responsibilities

Research & Analysis

• Conduct techno-economic analysis and literature reviews to support programme workstreams on low-emissions ammonia and fertiliser decarbonisation
• Contribute to the development of investment cases, market assessments, and pathway modelling
• Synthesise complex data and insights into clear, actionable outputs for both internal and external audiences
• Use AI and digital research tools to accelerate synthesis and insight generation

Programme Delivery Support

• Support the Programme Director in managing workplans, timelines, and milestones across a multi-year initiative
• Prepare and maintain high-quality documentation, presentations, and reports
• Track programme progress and flag risks or delivery issues in a timely manner
• Coordinate logistics and preparation for stakeholder meetings, workshops, and events

Stakeholder & Coalition Support

• Assist in building and managing relationships with government ministries, fertiliser producers, project developers, and financial institutions
• Support the design and facilitation of coalition structures and working groups
• Prepare briefings, meeting notes, and follow-up materials for senior stakeholder engagements

India Platform Contribution

• Provide on-the-ground support to Systemiq’s growing India presence
• Contribute to internal knowledge management and organisational learning on India’s energy transition
• Support business development and opportunity identification as directed by the Programme Director

Essential Experience

• 3–6 years of experience in strategy consulting, energy, climate, research, or a related analytical field
• Experience in top-tier strategy consulting background is strongly preferred – McKinsey, BCG, Bain
• Demonstrated ability to produce high-quality quantitative and qualitative analysis under time pressure
• Experience contributing to complex projects or programmes in multi-stakeholder environments
• Some exposure to energy systems, industrial sectors, climate policy, or related domains
• Familiarity with applying AI tools to research, synthesis, and data analysis

Core Capabilities

• Strong analytical and problem-solving skills, with an ability to work from first principles
• Excellent written and verbal communication skills, including the ability to distil complex analysis into accessible outputs
• High attention to detail and commitment to quality across all deliverables
• Proactive, collaborative working style with the ability to manage multiple workstreams simultaneously
• Comfort operating in ambiguous, fast-moving environments and taking initiative

Additional Experience

• Understanding of India’s energy, industrial, or policy landscape
• Exposure to fertiliser, ammonia, hydrogen, or broader power-to-x value chains
• Experience working across public, private, or non-profit sectors
• Familiarity with climate finance, carbon markets, or sustainable investment frameworks

What This Role Offers

• Opportunity to contribute to a high-impact initiative critical to India’s energy transition and food system resilience
• Direct exposure to senior policymakers, industry leaders, and financial institutions
• Mentorship and development within a high-performing, mission-driven team
• A clear pathway for progression within Systemiq’s growing India platform
• A collaborative, global work environment with diverse programmes, offices and relationships around the world

In this role, you are embedded within the ADAS department as a Sr. Technical Program Manager - ADAS/AD Software Development to collaborate with a wide range of cross-functional teams at Lucid Motors on tracking and bringing to completion of all phases of ADAS/AD SW development and release process.    

The Sr. Technical Program Manager - ADAS/AD Software Development will help guide the internal SW development ADAS teams in the development of ADAS and Autonomous Driving SW for Lucid vehicles.  

This role is located on-site at Headquarters in Newark, Ca.  

  Role and Responsibilities   

• Coordinate across platform, applications (Maps, Motion Planning & Control, Perception), and Data teams to create an integrated stack that aligns with feature development  

• Define and track progress toward SW integration milestones and identify, escalate, unblock issues that impact SW Development  

• Manage and coordinate critical program activities between the key stakeholders, cross-functional teams and other project managers/tech leads  

• Manage and coordinate SW release cadences both for ADAS internal validation, and overall system integration and validation milestones     

• Employ project management skills related to overall project tracking, deliverables management, action item tracking, meeting minutes, team communications, and presentations; keep stakeholders apprised of project status and defined deliverables.  

• Use tools like Jira and Confluence to communicate key tasks, track progress, and publish critical information to the complete project team.   

• Contribute to Strategy development and operation management for the entire ADAS/AD department  

Required Qualifications:  

• BS or MS degree in an engineering disciple or equivalent experience  

• 3+ years of experience in technical program management in ADAS SW development, or 7 years of experience in the automotive field, with ADAS/AD features and systems  

• Success in leading cross-functional teams in launching ADAS/AD features into production 

• An ability to lead through ambiguity and enabling teams to perform in this environment  

• Expertise using JIRA, Confluence, and other project management tools  

• Excellent written, presentation, and verbal communication skills and an ability to explain difficult or sensitive information in an easy to understand manner  

• Ability to quickly comprehend complex problems and effectively facilitate the team to a decision and coordinate the action plan.  

• Excellent interpersonal, communication and collaboration skills, with ability to work in a high-pace highly complex cross-functional environment.  

• Strong analytical and quantitative skills with ability to drive decisions using data and metrics   

Preferred Qualifications:  

• Previous project management experience from an OEM or a Tier1 in ADAS/AD SW development, or feature definition and systems engineering  

• Previous experience with lean-agile framework, and development and deployment process   

• Knowledge of relevant regulations and applicable safety standards for typical ADAS features (e.g. ASPICE, FMVSS, EuroNCAP, R79, GSR2, etc.)  

• MS or PhD in Computer Science, Electrical Engineering, System Engineering, or similar preferred 

We are seeking an experienced and highly motivated Senior Data Analyst focused on Remarketing. We are looking for someone who can partner with Lucid’s Remarketing team and harness data to generate insights and accelerate decision making.  This role requires a blend of technical and business skills.  You will have a unique opportunity to build from 0 to 1 and have broad exposure across many functions. The ideal candidate has a passion for transforming raw data into useful insights and will take pride in building a world-class data-driven remarketing organization. 

 Responsibilities: 

• Deliver sales and pricing analytics that support data‑driven decision making, including KPI development, large‑scale data analysis, and the creation of clear, actionable reports and dashboards for the Remarketing organization. 

• Develop competitive pricing insights and price‑positioning analyses using market research and competitor benchmarking.  

• Monitor sales and pricing performance, analyze trends in sales velocity and margins, and recommend adjustments based on performance and market dynamics.  

• Partner cross‑functionally with Sales, Finance, Marketing, Product, and Operations teams to support pricing strategy, revenue planning, volume forecasting, and profitability analysis.  

• Analyze and reconcile sales, revenue, and cost data, including variance and operating margin analysis, and clearly communicate key performance drivers.  

• Translate complex analyses into concise insights and compelling visualizations for leaders and operating teams.  

• Design, build, and maintain recurring dashboards and analytical tools that provide visibility into sales performance.  

• Ensure data accuracy and integrity through validation, documentation, and adherence to data quality standards.  

• Collaborate with Data Engineering to leverage enterprise data sources, improve data models, and support scalable analytics solutions.  

• Support pricing system processes, including price‑book setup and maintenance in ERP and related tools.  

• Identify opportunities to automate reporting, streamline analytics workflows, and improve efficiency.  

• Contribute to ad‑hoc analyses and planning efforts such as month‑end reporting, long‑range business planning, and benchmarking. 

Qualifications 

• 5+ years of experience in Business Intelligence, Data Science, or Data Analytics roles. 

• BS/MS in a quantitative discipline such as Analytics, Computer Science, Statistics, Engineering, Mathematics, or a related business field. 

• Expert in SQL with proven ability to query, manipulate, and analyze raw datasets. 

• Working knowledge of Salesforce (SFDC) and its use in capturing data across the customer journey. 

• Familiar with data mining principles, including descriptive analytics, data mapping, and integration across on-premises and cloud-based sources. 

• Advanced data visualization skills with experience creating intuitive, impactful dashboards. (eg. Tableau) 

• Proficient in Excel and familiar with programming languages such as Python or R for data analysis.  

• Skilled in crafting clear, compelling narratives and slide decks to communicate insights to technical and non-technical stakeholders. 

• Strong communicator and collaborator with the ability to convey complex ideas accessibly and effectively. 

• Comfortable operating in fast-paced, ambiguous environments while maintaining high standards and attention to detail. 

• Experience in agile methodologies and project tracking tools like JIRA. 

 At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

S'more about the team

The Manager, Purchasing leads a team of Distribution Center (DC) based buyers to ensure seamless week-to-week procurement operations for their site. They are responsible for the on time, in full, and in quality delivery as well as operational spend of ingredients and packaging. They work closely with both site level and HQ (Toronto) key stakeholders, being the primary point of contact for any procurement related activities at the DC.

Lettuce share what this role will be responsible for:

• First point of contact for any procurement-related activities (e.g. including strategic sourcing, logistics, inventory) within the site you are supporting and triage to escalate/delegate as required.
• Responsible for the purchasing strategy in the DC including supplier performance metrics, ordering strategy, work closely with DC key stakeholders to achieve business targets. 
• Develop and maintain a strong line of communication with the DC, working alongside with Production, Warehousing and Quality Teams to ensure production goes on uninterrupted and collaboratively deliver for high customer performance with the DC.
• Lead a team of buyers to issue daily/weekly POs and ensure all of our ingredients and packaging arrive on time, in full, in quality at our distribution centres. Being the escalation point for supplier performance discussions. 
• Be accountable for the region's operational spend against planned spend (COGS), lead the investigation on over or under spend on a weekly and month basis, responsible for Purchase to Pay (P2P) process for the responsible DC. 
• Reporting on team performance based on critical KPIs, including on-time delivery, production hand-offs, substitutions, invoice approval, etc. 
• Accountable for team performance and development. Drive continuous improvement initiatives and coach the team for developments. 
• All other duties, as assigned.

Sound a-peeling? Here's what we're looking for: 

• A total of 3-5 years of experience in supply chain, with experience leading a team
• Bachelors’ degree in business, supply chain, engineering, or related discipline
• Quantitative and analytical experience (either through education or professional experience), including expertise with G-Suite, Excel, and procurement systems
• A strong people leader who can coach and motivate team members to improve performance and develop for future roles
• A love for solving ambiguous problems under tight deadlines, and using data to drive continuous improvement efforts and relentless prioritization
• An ownership mindset; you love to think beyond the scope of a given assignment
• A positive attitude and genuine excitement for working in a fast-paced environment
• A strong collaborator and communicator

Let’s cut to the cheese, this is why you'll love it here:

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• RRSP Matching - Competitive RRSP matching program offered
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Working Conditions:

It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process.

If this sounds like you, please click the "Apply Now" button. If this role doesn't quite match what you're looking for, but you'd like to know more about joining the HelloFresh team, please visit our Jobs page to view our other vacancies. We'd love to hear from you!

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

#factor

#JD1008

Your mission as a Junior Research Consultant

We are looking for a Junior Research Consultant (m/f/d) with a passion for managing research projects end-to-end, insights generation, and storytelling to join our Research Consulting Team in DACH. In this role, you will advise and coach clients throughout the entire market research process - from selecting the right methodology and writing questionnaires to charting, interpreting, and presenting results across a variety of projects.

You will act as a true sparring partner, exciting clients about customer centricity, agile market research, and innovative methods. You will play a critical role in effectively communicating insights, with a strong focus on engaging storytelling. Additionally, you will create, interpret, and present both high-level and in-depth reports in collaboration with cross-functional teams, ensuring alignment with client expectations and needs.

What you’ll be doing

• Act as a sparring partner for clients in the creation, adaptation, and analysis of market research projects
• Design studies (e.g., methodology, target group, sample size)
• Create bespoke questionnaires across various use cases (e.g., U&A, tracking, concept testing, creative testing, MaxDiff, Conjoint)
• Set up questionnaires and fieldwork on the Appinio platform
• Interpret results and provide actionable recommendations; create in-depth reports when needed (including charting, design, and insights)
• Present insights with a strong focus on storytelling, actionability, and clear recommendations
• Collaborate closely with the Sales team on the project scoping for new customers
• Manage projects and contribute to the strategic development of the Research Consulting Team and Appinio products
• Integrate AI across all research steps, collaborating with the Product team to enhance AI capabilities

You will thrive in this role if

• You bring at least 1-2 years of experience in market research and consulting B2B clients, with good knowledge of quantitative methods and statistics
• You bring experience designing studies, writing questionnaires, and working across various research methods and use cases
• You enjoy working hands-on with tools and platforms, including survey programming and process optimization, combining strategic thinking with practical execution
• You bring experience actively supporting the creation of reports (in PowerPoint or G-Slides) based on market research data. 
• You are fluent in English and proficient in German (C2 level, spoken and written)
• You are proactive, curious, and driven to go the extra mile to deliver high-quality outcomes, while balancing excellence and efficiency
• You have excellent communication skills, a pragmatic mindset, and a strong affinity for data
• You have a cooperative and caring attitude

What’s in it for you?

• Flexibility Policy - Our flexibility policy means there is no hard cap on the number of vacation days you can take
• Temporary work from abroad - If you're based in the EU, you can work outside your country of residence for up to 180 days per year
• All the hardware you need and your own MacBook
• If you are located in Hamburg or Berlin, you'll get a Deutschland ticket or access to a mobility budget with the NAVIT app to get you to and from the office space
• Subsidised Urban Sports Club or ClassPass membership based on location
• In case you’re located in one of the cities where most of our fellow Appinioneers are (Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York), you can get access to our Co-working spaces

Additional role details

• This is a fully remote position open to candidates (ideally) based in Germany, the UK, Portugal, the Netherlands, and Spain
• This role will report directly to one of our Team Lead Research Consulting DACH

Our interview process

1. Screening Call with a Team Lead RC
2. Case Study Interview with our Research Consulting Leadership team
3. Executive Interview with C-Level
4. Offer

Kind reminder: Please ensure that your application is submitted in English.

This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We're eager to hear from individuals who share our enthusiasm.

Appinio is an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Please read our privacy policy here.

Learn more about us:

 appinio.com    LinkedIn    Xing     Kununu    Instagram

 

The Role

As a Product Analyst you are an all-rounder who thrives equally working on technical topics as well as value-delivery through insights, presentation and data visualisation. Indeed, your extensive experience and knowledge across technical and business related topics enables you to go “end to end” with a high level of quality and scalability as well as driving best practices within the Product Analytics community. Not limited to one squad or domain, your impact is across the breadth of HelloTech, proactively identifying common needs and pain points across the teams and defining solutions to constantly improve the way we work. So while you are an individual contributor, you are a key owner of best practice across our teams.

What you’ll do

• Leverage Cursor AI to automate and expand analytical capabilities and insight generation for the product organisation.
• Collaborate from a technical perspective with data product managers and data engineers to create reusable data products 
• Collaborate with cross-functional teams to gather requirements and define project objectives while utilising project management skills to plan and execute data-driven projects
• Partner widely across the Senior Product organisation (Product, Software Engineering, UX leads) to set strategic priorities and promote a culture rooted in evidence-based decision making.
• Communicate actionable insights clearly across the organisation highlighting the “so-whats” of your analyses in order to drive the growth of our business.
• Explore and analyse customer behaviour and product performance data in order to detect growth opportunities for the HelloFresh digital product by improving user experience.
• Guide and mentor other Product Analysts within our team, defining best practices and providing support to help individuals and the team grow in effectiveness
• Review as a technical expert the implementations of multiple teams across domains, continuously improving the deliverables of your teams

What you'll bring

• Extensive experience in quantitative analysis roles, ideally including having worked closely with product teams for at least 4 years.
• Knowledge of Curser and AI Analytics
• Excellent technical skills applying expert level SQL and Python for both analysis and efficient manipulation of large data sets.
• Expert level knowledge of data visualisation tools like Tableau which we use to create compelling visualisations to convey complex data.
• Extensive experience working with product stakeholders in setting up A|B experiments, interpreting results and deep diving to understand the impact of particular experiments.
• Excellent communication skills, taking complex business problems, articulating these as analytical problems and presenting your findings in a clear and precise way. 
• Extensive leadership of complex projects you have led, capability building within your team, and through mentorship or direct people management.
• A change mindset, the status quo is not an impediment
• You are outcome oriented, and can take a business challenge, create actionable analytical insights against it, and align stakeholders on actions to create business value.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

#LI-HYBRID

Logistics  Manager Poland 

Hybrid – Szczecin 

About the Role

Reporting to the Logistics Director, the Logistics Manager for Poland will work collaboratively with all areas of the Operations Team and external 3PL’s to support the delivery of an outstanding level of service at the optimum cost.

This is a hybrid working role based primarily from our site in Szczecin, Poland, with some travel to our European offices and UK Head Office. 

• Flexible approach to working with attendance to offices in Europe and 3PL Locations
• Working with Inbound, Planning and Order management Functions monitor storage utilisation across the warehouses to ensure good product placement for outbound deliveries
• Deliver strategic and transformational projects in a fast-moving and highly demanding environment
• Working with the UK and NA Inventory teams to support improvements in inventory management inc damages and rebox activities
• Collaborate with the NPD Rework coordinator to review CSR’s and SOP’s on a ongoing basis to support process and service improvements.
• Support the production and review of KPI’s across all areas, inc distribution and finance. 
• Use project management methodology (prince II or equivilient) to deliver initiatives and projects on time
• Building relationships with stakeholders and collaborating with other functional areas of the business to drive transformational change and embed new ways of working ( processes, governance, culture)
• Manage the logistics projects related and not limited to: opening new warehouses, service provider selection, tender and bench marking exercises, IT implementations, cost reduction initatives
• Understand business requirements, deliver logistics solutions in a cost-effective and high-quality manner
• Be the key point of contact for all logistics issues related to new project and intative launches, escalating to the 3PL contract manager when required
• Transform the project from initative to BAU handing over to the 3PL contract manager
• Work collaboratively with third-party logistics partners to ensure great service levels and best cost especially during implementation and go live phase.
• Define the critical path and key milestones to ensure initiatives and projects are delivered on time, provide clear communication to all stakeholders on progress
• Identify risks and provide mitigation plans in order to avoid these
• Analyse the data, and evaluate performance metrics to ensure quality delivery and cost-efficient workflow processes and to identify trends and opportunities for improvement

ATTRIBUTES & SKILLS (REQUIREMENTS):

• Strong project management (Prince 2 or equivalent) and stakeholders management skills 
• Proven track record of leading teams in a logistical environment and working in a fast-paced environment where continuous innovation and improvement is part of our culture 
• Knowledge of B2B and D2C logistics marketplace as a whole is be desirable 
• Knowledge of Warehouse and Transport Operations
• Excellent English communication skills
• Commitment to learning and expanding professional and technical knowledge
• Numerate with seasoned analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases
• Ability to clearly communicate data insights to others
• Willingness to be hands-on and flexible with the workload
• Ability to understand the product, our business, and the competitive landscape
• Be agile, enthusiastic, and curious 

In certain locations, this position will be hired and employed through a third-party Employer of Record (EOR). SharkNinja will be responsible for the day-to-day work, supervision, and performance management of the role, but the EOR will be the employer of record for legal and administrative purposes (i.e., payroll, benefits, compliance). 

#LI-HYBRID 

As a Machine Learning Engineer Intern at Optiver, you’ll work alongside experienced engineers on high-performing systems that respond to live financial markets in real time.

You’ll contribute to the compute platforms and libraries that support large-scale machine learning model training and simulation workloads, gaining hands-on experience applying modern ML techniques to real quantitative trading problems. Within weeks, you could be building tools or models that run in production and directly support our trading strategies.

By the end of the 8-week internship, you’ll have a clear and practical understanding of how technology and ML techniques are used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Machine Learning Engineer.

WHAT YOU’LL DO:

Led by our in-house education team that consists of ex-traders and engineers, you’ll delve into advanced engineering concepts and lead innovative projects, during our world-class training program.

In just a few weeks, you'll have the opportunity to:

• Gain first-hand experience applying the latest AI technology to quantitative trading problems.

• Help build the compute platform and libraries for large scale machine learning model training and simulation workloads.

• Manage a project end-to-end, learn how to work with a complex code base and make impactful contributions to production systems.

• Work on real trading and IT problems, both technically and functionally, to improve our trading success.

Throughout the program, you'll be paired with an experienced mentor, who will show you the ins-and-outs of our trading systems, and provide you with guidance and feedback.

Additionally, internal resources will be available for your continuous learning and development.

WHAT YOU’LL GET:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets.

In addition, you’ll receive:

• A highly competitive remuneration package.

• Optiver-covered flights and accommodation for the duration of the internship.

• The opportunity to work alongside best-in-class professionals.

• Training, mentorship and personal development opportunities.

• Gym membership, plus weekly in-house chair massages.

• Daily breakfast, lunch and in-house barista.

• Regular social events.
  
  

WHO YOU ARE:

• Students graduating in 2027 or later.

• Foundations in Machine Learning fundamentals, including optimisation and deep learning concepts.

• Hands-on experience with deep learning frameworks such as PyTorch, JAX, or similar.

• Interested in building scalable and reproducible machine learning pipelines, including data preprocessing, training, evaluation, and experiment tracking.

• Natural problem solvers who love nothing more than tackling a complex technical challenge.

• Team players who thrive in collaborative environments and are eager to learn, iterate, and improve.

• Interested in the trading / quantitative finance industry (prior finance knowledge is not required).
  
  Optional:

• Ability to identify and reason about compute and performance bottlenecks, using profiling, benchmarking, and systematic analysis to improve training efficiency.

• Experience with distributed training or GPU acceleration is a plus.

• Familiarity with experiment management tools (e.g. MLflow, Weights & Biases) or workflow orchestration is a plus.

HOW TO APPLY:

If you're ready to take the next step in your career and work on one of the most exciting trading floors in mainland China, we’d love to hear from you. Apply now via the form below. Applications close 16 March 2026.

In your application, please submit the following materials in English:

• Resume

• Cover letter (optional)

For any other inquiries, contact us at chinacareers@optiver.com.au

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins in 2027.

PRIVACY DISCLAIMER

Optiver 重视个人信息的保护。请您在提供个人信息给我们之前，认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。

Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our Privacy Policy to acknowledge how we collect and process your personal information.

The Role 

We are seeking a Manager, Business Operations to support Strategy & Business Development by driving strategic initiatives, operating cadence, and executive-level reporting. This role partners closely with senior leaders and cross-functional teams to ensure clarity, alignment, and execution across complex, high-priority initiatives. 

This role is ideal for candidates with backgrounds in management consulting, investment banking, corporate strategy, or business operations, who thrive at the intersection of strategy, analytics, and execution. 

What You’ll Do 

Executive Reporting & Narrative Building 

• Develop executive-ready PowerPoint materials for senior leadership, including strategic updates, decision memos, operating reviews, and board-level content
• Synthesize complex, cross-functional inputs into clear narratives, insights, risks, tradeoffs, and recommendations
• Ensure materials focus on decision implications and executive clarity, not just status reporting

Business Operations & Operating Cadence 

• Own the operating cadence: agenda setting, pre-reads, KPI rollups, action tracking, and follow-through
•  Design and maintain Excel-based dashboards and scorecards tracking performance against strategic priorities 
• Build lightweight, repeatable processes that improve visibility, accountability, and decision speed

Strategic Initiatives & Problem Solving 

• Lead cross-functional initiatives end-to-end, from scoping and analysis through execution and issue resolution
• Build structured business cases and quantitative analyses to support prioritization and investment decisions
• Independently manage multiple concurrent workstreams, escalating risks and decisions crisply

Stakeholder Management 

• Partner across Strategy, Finance, Commercial, Operations, Engineering, and Legal
• Influence without authority to drive alignment and resolve dependencies

Minimum Qualifications 

• 7+ years of experience in business operations, strategy & operations, management consulting, investment banking, or corporate strategy
• Demonstrated executive-level PowerPoint storytelling skills 
• Advanced Excel capability including KPI tracking, scenario analysis, and business case support
• Excellent written and verbal communication skills
•  Comfort operatingin fast-paced, ambiguous environments 

Preferred Qualifications 

• Automotive, EV, mobility, manufacturing, or industrial experience
• Experience supporting executive leadership or governance processes
• Familiarity with KPI frameworks, OKRs, and operating models
• Exposure to Tableau, Power BI, or SQL

You will be part of a team that is building one of the world's strongest brokerage brands, and part of a global enterprise that employs technology in all aspects of its business to generate growth.

Job Description & Responsibilities

• Monitor daily cash positions across multiple currencies for APAC entities
• Perform daily liquidity forecasting and cash flow analysis to ensure optimal funding levels
• Monitor key limits and work with risk management and compliance team on relevant initiatives
• Analyze interest rate environments and recommend strategies for optimizing returns on cash balances
• Maintain relationships with banking partners and financial institutions in the region and collaborate with other teams within the company
• Prepare treasury reports for management and support implementation of treasury policies and procedures
• Identify opportunities to leverage emerging technologies, AI, and automation to enhance treasury operations and efficiency
• Drive innovation in treasury management systems, exploring and implementing new technological solutions
• Participate in projects related to treasury management systems and process improvements

Qualifications & Skills

• Bachelor's Degree required 
• Forward-thinking mindset with enthusiasm for exploring how technology can transform traditional processes
• Highly adaptive and comfortable working in a rapidly evolving technological environment
• Work experience in the finance industry or corporate treasury is a plus but not required
• Good command of both written and spoken English
• Strong problem solving and analytical skills with ability to handle quantitative analysis
• Strong attention to detail, organizational skills, follow-through and results-oriented
• Ability to multitask and prioritize tasks under pressure of completing assignments within time constraints
• Logical approach to problem solving
• Proven ability and eagerness to learn, understand and apply new technologies quickly
• Proficient in the use of MS Office and use of these tools to present data clearly and concisely
• Knowledge of VBA/Excel macros for automation and data analysis is a plus
• Programming skills in Python or similar languages is a plus
• Interest in or experience with automation tools, AI applications, LLMs, or other innovative technologies is highly valued

Company Benefits & Perks

• Competitive Salary, annual performance-based bonus and stock grant
• Excellent health and welfare benefits including medical, dental, specialist and in-patient  
• Competitive package of Annual Leave
• Daily lunch ordered in house with fully stocked kitchen
• Modern offices with multi-monitor setups
• Great work life balance
• Unique opportunity to gain exposure to global financial products, markets and clientele
• Opportunities for career progression and job scope expansion in a global company with growing local presence
• Hybrid work arrangement role permitting

Position:  Associate - Business Development

Responsibilities:

• Advise and onboard high net worth individuals and institutional clients from EMEA onto company trading platform
• Coordinate integration project and product optimization for new B2B clients across multiple internal teams, including legal, operations, technology, and client services
• Conduct competitive research and market analysis on financial and brokerage industry
• Participate in client meetings both online and offline (for integration projects only)
• Reach out to a set of assigned Indian retail applications and assist in form filing, opening and funding.

Qualifications, Skills & Attributes:

• Experience: 1-2 years in Brokerage or financial Industry
• Education: Post Graduate (MBA) with 1-2 years of experience or Graduate (Any bachelors degree) with 1-2 years of work experience in Brokerage/Financial Industry
• Proficiency in MS Office
• Language skills: Fluent English
• Good quantitative/analytical skills
• Excellent oral/written communication skills required

Company Benefits & Perks: 

• Competitive salary package.
• Performance based annual bonus (cash and stocks).
• Hybrid working model (4 days office/week).
• Group Medical & Life Insurance.
• Modern offices with free amenities & fully stocked cafeterias.
• Monthly food card & company paid snacks.
• Hardship/shift allowance with company provided pickup & drop facility*
• Attractive employee referral bonus.
• Frequent company sponsored team building events and outings.

* Depending upon the shifts.

**The benefits package is subject to change at the management's discretion.

This is Hybrid role (4 days in office /1 day remote)

Interactive Brokers is looking to hire a full-time Quality Assurance Compliance Analyst at the Chicago office. This is a position with excellent growth potential for highly motivated and exceptional performers. Analysts will report to a Quality Assurance Compliance Manager in our Chicago office and will assist with ensuring the firm complies with Bank Secrecy Act, USA PATRIOT Act, anti-terrorist financing, sanctions, industry AML, and securities laws and regulations.

Responsibilities

• Conducting Quality Assurance reviews of account activity, including trading activity, deposit and withdrawal activity, and public domain activity, to determine if activity is in line with IBKR policy
• Advising management by collecting, analyzing, and summarizing data and trends.
• Conduct Quality Assurance reviews on regulatory filings
• Contribute to streamlining current processes and identifying areas for improvement
• Review trading data for suspicious activity or patterns of unusual trading

The ideal candidate will have some regulatory compliance experience working for an exchange, a regulatory organization, a Broker Dealer (BD), a Futures Commission Merchant (FCM) or similar organization. Alternatively, experience in internal audit, legal, accounting or other control function of a financial services firm or regulator would be beneficial. In the absence of direct industry experience, we will also consider applicants with excellent Bachelor’s-level educational credentials who have some background in law, accounting, data analytics or similar areas with strong analytical and quantitative skills. In order to thrive and succeed in a remote work environment candidates must be focused, adaptable, collaborative and have strong time management skills.

Qualifications, Skills & Attributes

Preferred qualifications:

• 2+ years’ work experience in Trade Surveillance
• Strong product knowledge of equity or exchange-traded derivative markets, or, preferably, both
• High degree of comfort and fluency with computers and technology and understanding of how technology is applied to business and regulatory problems.
• Excellent oral and written communication skills
• Detail-oriented with outstanding organizational and project management skills
• Ability to work both independently as well as in a small-team environment, and to multi-task with minimal supervision
• ACAMS, CFE, CFCS, Series 7, or other FINRA licenses or certifications a plus

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

Job Description and Responsibilities:

Interactive Brokers seeks high-level, serious individuals with a financial services industry background and a professional demeanour suitable for interaction with an experienced and active clientele base. The ideal candidate will have a strong math and technical aptitude, the ability to troubleshoot and explain complex subjects, and the capacity to identify opportunities for technology-based improvements.

Qualifications:

• Respond to retail and professional clients' inquiries via inbound calls, email, and online chat
• Obtain a thorough knowledge of products offered by IB on various global exchanges
• Assist clients with opening and funding accounts
• Show clients how to use different features of the Trader Workstation
• Explain margin requirements to clients
• Investigate trade issues and order executions
• Knowledge of securities regulations impact on customers

• Experience: 2+ years of Client services experience in the International BPO industry
• Education: University degree (Bachelors) required
• High level of MS Excel skills required
• Language skills: Fluent English
• Good quantitative/analytical skills
• Excellent oral/written communication skills are required.

• Competitive salary package.
• Performance-based annual bonus (cash and stocks).
• Group Medical & Life Insurance.
• Modern offices with free amenities & fully stocked cafeterias.
• Monthly food card & company-paid snacks.
• Hardship/shift allowance with company-provided pickup & drop facility*
• Attractive employee referral bonus.
• Frequent company-sponsored team-building events and outings.
  
  

This is a hybrid role (3 days in the office/2 days remote).

About Your Team:

Our Financial Crimes Surveillance team seeks a Senior Data Engineer to play a critical role in protecting the financial system. You'll architect, implement, optimize, and maintain sophisticated data pipelines that power real-time and batch surveillance models that pinpoint fraud, market manipulation, and money laundering across our platform.

The Scale & Impact:

• Process 1+ billion order events and 5+ million trades daily
• Protect 3.5+ million client accounts
• Direct impact on financial security and regulatory compliance

What will be your responsibilities within IBKR: 

• Data Architecture & Stewardship
  • Own and curate dozens of mission-critical datasets that drive surveillance operations.
  • Design, build, and automate robust data pipelines supporting real-time and batch processing.
  • Develop advanced data quality frameworks to proactively identify issues before they impact operations.
• Cross-Functional Partnership
  • Collaborate with quantitative engineers and surveillance model developers to translate complex business requirements into scalable data solutions.
  • Transform high-level surveillance concepts into production-ready processes that deliver actionable insights.
• Technical Excellence
  • Build an analytical infrastructure enabling seamless data exploration and visualization
  • Optimize data architectures and databases for maximum performance and reliability
  • Create developer tooling that accelerates pipeline development and monitoring
  • Ensure data accuracy, security, and compliance with regulatory standards
• Innovation & Optimization
  • Continuously enhance system reliability, performance, and efficiency
  • Load and format datasets for optimal consumption by quantitative researchers and ML models
  • Drive best practices in data governance and privacy protection

 Which skills are required:

• 5+ years of professional software engineering with a focus on data pipeline development (Python or Java)
• 3+ years of production Python experience beyond scripting
• Expert-level proficiency in Pandas or Polars
• 1-3 years of hands-on Linux systems experience
• Deep understanding of databases and SQL optimization
• Bachelor's or master's degree in computer science or a related technical field

Preferred Qualifications:

• Financial services or fintech background
• Proficiency in C++ or Java
• Advanced degree (Master's/PhD)

 To be successful in this position, you will have:

• Self-motivation and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

This is a hybrid role (4 days in the office / 1 day remote).

Responsibilities: 

• Conduct thorough investigations and reviews of client accounts and transactions to identify activity potentially linked to money laundering, terrorist financing, or other financial crimes
• Analyze complex data sets, client profiles, and transaction patterns to identify inconsistencies, anomalies, and red flags
• Prepare clear, well-organized case files and written reports to support findings and decision-making. Collaborate with internal stakeholders to gather information, escalate concerns, and ensure a coordinated response to risk
• Monitor and document activity following internal procedures, regulatory expectations, and best practices
• Stay current with applicable AML/CFT regulations, emerging financial crime trends, and internal policies

Skills:

• Strong analytical and quantitative skills, with the ability to assess large volumes of information and draw meaningful conclusions
• High degree of comfort and fluency with computers and technology, including the ability to navigate complex systems and data tools
• Excellent oral and written communication skills, with the ability to convey complex information clearly and concisely
• Detail-oriented with strong organizational and project management abilities
• Ability to work independently and effectively within a small team environment
• Capable of managing multiple priorities simultaneously with minimal supervision

Qualifications:

• 4 - 8+ years of work experience in AML investigations or related financial crime roles
• College Degree or equivalent work experience preferred
• High level of technical proficiency and understanding of how technology supports business and regulatory requirements
• Strong written and verbal communication skills, including experience drafting investigative narratives or similar reports
• Demonstrated ability to stay organized and meet deadlines in a fast-paced, detail-driven environment.
• Proven ability to work autonomously and collaboratively, managing multiple tasks with a high degree of accuracy
• ACAMS, CFE, CFCS, Series 7, or other relevant certifications or FINRA licenses are a plus.

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

This role's anticipated base salary range is $70,000 to $85,000 annually based on skill's and experience. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and stock award as well as a wide range of benefits, including health care, tuition reimbursement and much more.

What will be your responsibilities within IBKR:

Technical Excellence

• Design, optimize, and extend transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability
• Navigate seamlessly between strategic, system-level architecture and function-level implementation details of our surveillance system, which orchestrates 150+ processes
• Optimize data architectures and databases for maximum performance and reliability
• Build developer tooling to accelerate development workflows and system monitoring
• Ensure data accuracy, security, and compliance with regulatory standards 

Ownership and Cross-Functional Partnership

• Take ownership of projects and sub-systems from planning through resolution, making impactful decisions on complex technical and business-related questions
• Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable designs and processes
• Identify project bottlenecks, risks, and limitations; calculate costs; and provide strategic insights to stakeholders
• Transform high-level surveillance concepts into production-ready processes that deliver actionable insights

Data Architecture & Stewardship

• Own and curate dozens of mission-critical datasets that drive surveillance operations
• Design, build, and automate robust data pipelines to support real-time and batch processing
• Develop advanced data quality frameworks to proactively identify issues before they impact operations

Innovation & Optimization

• Contribute to the evolution of coding standards and internal code review processes
• Drive best practices in data storage, retrieval, governance, and privacy protection
• Drive automation of processes and workflows to reduce manual effort and enhance system maintainability

 Which skills are required:

• 5+ years of professional software engineering experience in Python, C++ or Java
• 3+ years of professional experience in Python as a primary language (non-scripting)
• Extensive experience in Pandas or NumPy, Polars is nice to have
• 1-3 years of professional experience with Linux operating systems
• Thorough understanding of databases and SQL
• Experience with large Python codebases
• Bachelor's or master's degree in Computer Science, or a related area
• High attention to detail

Good to Have:

• Experience with data engineering or ETL pipelines
• Knowledge of finance
• Knowledge of C++ or Java
• Masters/PhD

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

Job Description and Responsibilities:

Interactive Brokers is seeking MBA/Graduate freshers with a finance background and a professional demeanor suitable for interaction with an experienced and active clientele base. The ideal candidate will have a strong math and technical aptitude, the ability to troubleshoot and explain complex subjects, and the capacity to identify opportunities for technology-based improvements.

Qualifications:

Company Benefits & Perks

This is a hybrid role (3 days in the office/2 days remote).

About your team:

The Financial Crimes Surveillance team develops and maintains sophisticated systems that detect and prevent fraud, market manipulation, and money laundering across Interactive Brokers' global platform. In this role, you'll architect, implement, optimize, and maintain large-scale data pipelines and surveillance models that process massive volumes of financial data. The team consists of software engineers, data engineers, compliance specialists, and data scientists working on mission-critical infrastructure that directly protects the integrity of the financial system.

The Scale & Impact:

• Process 1+ billion order events and 6+ million trades daily
• Protect 4.5+ million client accounts
• Direct impact on financial security and regulatory compliance

What will be your responsibilities within IBKR:

Technical Excellence

• Design, optimize, and extend transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability
• Navigate seamlessly between strategic, system-level architecture and function-level implementation details of our surveillance system, which orchestrates 150+ processes
• Optimize data architectures and databases for maximum performance and reliability
• Build developer tooling to accelerate development workflows and system monitoring
• Ensure data accuracy, security, and compliance with regulatory standards 

Ownership and Cross-Functional Partnership

• Take ownership of projects and sub-systems from planning through resolution, making impactful decisions on complex technical and business-related questions
• Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable designs and processes
• Identify project bottlenecks, risks, and limitations; calculate costs; and provide strategic insights to stakeholders
• Transform high-level surveillance concepts into production-ready processes that deliver actionable insights

Data Architecture & Stewardship

• Own and curate dozens of mission-critical datasets that drive surveillance operations
• Design, build, and automate robust data pipelines to support real-time and batch processing
• Develop advanced data quality frameworks to proactively identify issues before they impact operations

Innovation & Optimization

• Contribute to the evolution of coding standards and internal code review processes
• Drive best practices in data storage, retrieval, governance, and privacy protection
• Drive automation of processes and workflows to reduce manual effort and enhance system maintainability

 Which skills are required:

• 5+ years of professional software engineering experience in Python, C++ or Java
• 3+ years of professional experience in Python as a primary language (non-scripting)
• Extensive experience in Polars, Pandas or NumPy
• 1-3 years of professional experience with Linux operating systems
• Thorough understanding of databases and SQL
• Experience with large Python codebases
• Bachelor's or master's degree in Computer Science, or a related area
• High attention to detail

Good to Have:

• Experience with data engineering or ETL pipelines
• Knowledge of finance
• Knowledge of C++ or Java
• Masters/PhD

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

This is Hybrid role (3 days in office /2 days remote)

About your Team:

On the Transactional Surveillance Technology team you will be testing infrastructure you build will be critical to maintaining the team's velocity and reliability in detecting market manipulation and financial crimes, directly supporting regulatory compliance and protecting millions of client accounts. The quality and reliability you ensure has real-world impact on market fairness and financial security

 What will be your responsibilities within IBKR: 

As a Software Development Engineer in Test and help protect market integrity at massive scale. You'll build and maintain the automated testing infrastructure that ensures reliability across systems processing 1+ billion order events daily—work that directly impacts the fairness and security of financial markets.

• Build scalable testing frameworks that enable our team to deploy confidently and maintain high system reliability
• Design comprehensive test suites covering unit, integration, and acceptance testing that catch issues before they reach production
• Collaborate with engineers and data scientists to embed quality practices throughout the development lifecycle
• Provide metrics and reporting on test coverage, quality trends, and system reliability
• Build and maintain monitoring and alerting systems for test infrastructure
• Develop data quality checks to ensure integrity across pipelines and databases
• Investigate and triage test failures, working with development teams to identify root causes and implement fixes

 What required skill’s you need:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field
• 3+ years of software engineering experience with strong coding skills (Python required)
• Strong experience with unit testing frameworks (pytest, unittest, etc.)
• Strong communication skills with meticulous attention to detail
• Experience with version control systems (git)

Experience & Mindset:

• Solid foundation in testing methodologies and quality assurance principles
• Strong problem-solving and analytical abilities
• Self-motivated with ability to drive projects independently

Preferred Qualifications

• Experience with data quality/lineage platforms (Manta/Ataccama)\
• Background in performance/load testing tools
• API and contract testing experience
• Experience with data engineering concepts and tools
• Experience with monitoring/observability tools

Company Benefits & Perks

This is Hybrid role (4 days in office / 1 day remote)

Interactive Brokers is looking to hire Trade Surveillance Analysts (temps) for a six-month assignment in its Chicago, Illinois, office. This entry-level position has excellent growth potential for highly motivated and exceptional performers. Analysts will report to a Compliance Manager and help ensure the firm complies with the Bank Secrecy Act, USA PATRIOT Act, anti-terrorist financing, sanctions, industry anti-money laundering, and securities laws and regulations.

Day-to-day responsibilities include:

• Conducting account activity reviews, including trading, deposit and withdrawal, and public domain activity, to determine if the activity aligns with IBKR policy.
• Advising management by collecting, analyzing, and summarizing data and trends. 
• Preparing regulatory filings.
• Contribute to streamlining current processes and identifying areas for improvement.
• Review trading data for suspicious activity or patterns of unusual trading.

The ideal candidate will have 1-3 years of regulatory compliance experience working for an exchange, a regulatory organization, a broker-dealer (BD), a futures commission merchant (FCM) or a similar organization. Alternatively, experience in internal audit, legal, accounting, or other control functions of a financial services firm or regulator would be beneficial. Absent direct industry experience, we will also consider applicants with excellent bachelor ’s-level educational credentials, some background in finance, economics, data analytics, or similar areas, and strong analytical and quantitative skills.

Qualifications, Skills & Attributes:

• Strong product knowledge of equity or exchange-traded derivative markets’ or, preferably, both
• High degree of comfort and fluency with computers and technology and understanding of how technology is applied to business and regulatory problems
• Excellent oral and written communication skills
• Detail-oriented with outstanding organizational and project management skills
• Ability to work both independently as well as in a small-team environment and to multi-task with minimal supervision
• ACAMS, CFE, CFCS, Series 7, or other FINRA licenses or certifications a plus

 To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

Role Overview

Interactive Brokers seeks an FIU Analyst who is hard-working, detail-oriented, careful and a problem solver. This Analyst will assist in reviewing and analyzing the firm's customers' cashiering activities per the firm's AML/CTF policy. This role requires high energy and learning new skills in a dynamic environment.

Responsibilities

The role has regional responsibility and will involve:

• Assist in the monitoring and surveillance of cashiering transactions by IBKR clients in the Asia Pacific region
• Communicate with clients on monitoring and surveillance-related matters.
• Reviewing and providing suggestions to enhance existing surveillance systems/reports.
• Manage projects to build and implement approved enhancements and changes required due to regulatory changes. 
• Staying up to date with changes in market conduct, AML and other related regulations,
• Staying up to date with APAC and international developments in relevant areas of regulations and law.

Required Qualifications and Skills:

• Familiarity with AML/CTF Rules. 
• Experience in dealing with exchange and regulatory enquiries.
• Fluency in English (both written and spoken) is essential.
• Good communication skills and customer service experience would be advantageous.
• Good quantitative, analytical, and problem-solving skills
• Solid academic background with relevant qualifications
• Knowledge on AI/Machine Learning would be advantageous
• Have a "can do" attitude and willingness to learn.
• Good organizational skills with the ability to multi-task, prioritize and work with minimal supervision
• A high degree of comfort and fluency with computers and technology and an understanding of how technology is applied to business and regulatory problems or an ability to develop this rapidly

Company Benefits & Perks

• Competitive Salary, annual performance-based bonus and stock grant
• Excellent health and welfare benefits including medical, dental, specialist and in-patient  
• Competitive package of Annual Leave
• Daily lunch ordered in house with fully stocked kitchen
• Great work life balance
• Unique opportunity to gain exposure to global financial products, markets and clientele
• Opportunities for career progression and job scope expansion in a global company with growing local presence
• Hybrid work arrangement role permitting

This is a hybrid role (4 days in office / 1 day remote)

Interactive Brokers is looking for an experienced Data Analyst with data analysis experience, preferably in the commodities or securities industry. This position is responsible for handling compliance supervision over reporting to various non-financial systems. Prior experience working with order audit trail reporting systems, order handling or trading systems, or client data is highly desired but not required.

Responsibilities:

This position is focused on the Consolidated Audit Trail (“CAT”) reporting systems and compliance supervision to ensure that the firm has complied with the rules. This is an operational and oversight function that requires the ability to read regulations, research and analyze data, understand technical implementations of systems, and devise control procedures to test compliance.

Experience in researching transactional reporting issues to form evidence-based conclusions is a necessary skill. Experience in data analysis and/or system development or improvement is strongly preferred. While preference will be given to individuals with financial services industry experience, similar compliance experience in another industry will also be considered.

Specific Job Responsibilities:

• 1–2 years of experience as a Data Analyst/Data Scientist
• Reviewing regulatory data to identify root causes and necessary remediation for errors
• Using UNIX command tools to make corrections to records as needed
• Developing surveillance for regulatory reporting and operational data
• Automating the CAT Feedback system
• Following up with software developers and/or management on any errors or exceptions that arise
• Gathering facts to assist the firm in responding to examinations and formal inquiries
• Proposing improvements to, or additional controls over, regulatory reporting

Qualifications:

• Bachelor’s degree required, preferably in a quantitative or analytical field
• Experience in an analytical role, preferably in the financial industry
• Strong data analysis, investigatory, and problem-solving skills
• The ideal candidate would have some degree of self-sufficiency in performing data analysis using common programming languages (e.g., Python, Perl) and database queries (e.g., SQL)
• Regulatory research and interpretation skills
• Strong written and verbal communication skills, including the ability to discuss and write about complex topics in a manner that is both precise and persuasive
• Familiarity with, or the ability to learn, advanced Excel skills is required (e.g., pivot tables, macros)

Familiarity with the following is a plus:

• FINRA Consolidated Audit Trail (“CAT”) / Order Audit Trail (“OATS”) systems
• FIX protocol

Technological orientation is required, with the following specific skills highly valued:

• UNIX knowledge is part of this job and must be learned on the job, but prior experience is preferred
• Programming skills in Python, Perl, or Go are highly desirable
• Experience using Atlassian systems (e.g., Confluence and JIRA) is a plus

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision
• Superb analytical and problem-solving skills
• Excellent collaboration and communication (verbal and written) skills
• Outstanding organizational and time management skills

Company Benefits & Perks

• Competitive salary, annual performance-based bonus, and stock grant
• Retirement plan 401(k) with competitive company match
• Excellent health and wellness benefits, including medical, dental, and vision coverage; company-paid healthcare premium
• Wellness screenings and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP)
• Daily company lunch allowance and a fully stocked kitchen with healthy options for breakfast and snacks
• Corporate events, including team outings, dinners, volunteer activities, and company sports teams
• Education reimbursement and learning opportunities

This is a hybrid role (3 days in office / 2 days remote).

About Your Team:

Shape the Future of Market Integrity at Interactive Brokers.

Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem.

 What will be your responsibilities within IBKR:

• Architect next-generation surveillance models to detect emerging manipulation patterns across global markets
• Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations
• Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy
• Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades)
• Evaluate model performance to optimize detection accuracy while minimizing false positives
• Document methodologies to withstand regulatory scrutiny and examination.

 Which skills are required:

Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems.

• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field
• Strong programming proficiency in Python
• Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance
• Domain expertise in at least one of:
  • Large-scale financial data analysis (orders, trades, market data)
  • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.)
  • Regulatory-driven feature engineering

• Communication excellence in explaining complex surveillance concepts to diverse stakeholders.

Good to haves:

• Regulatory background at the SEC, FINRA, or major securities exchanges
• Advanced degree in a quantitative discipline
• Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost)
• Deep understanding of market microstructure and trading strategies
• Specialized knowledge in AML and market manipulation typologies

 To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

This is Hybrid role (4 days in office /1 day remote)

Responsibilities :

• Create and maintain the Annual Financial Crimes test plan covering the different risk areas
• Coordinate day to day execution with offshore Testing team
• Own and update testing framework and supporting templates to be in-line with regulatory requirements and industry standards
• Conduct testing and monitoring activities, including developing test plans, test data collection, develop test instructions, and performing adequacy review of policies and procedures
• Execute hands on testing both functional as well as backend SQL, based on the control setup
• Analyze test results and summarize a list of meaning risk-based observations
• Communicate deficiencies to the business and key stakeholders and exercise credible challenge.
• Assist with preparing executive reports summarizing test results and conclusions
• Provide support with the maintenance of Global Financial Crimes Control Library
• Develop Testing and Monitoring metrics, and contribute to department reporting
• Work collaboratively with stakeholders across the Financial Crimes Compliance program and Engineering teams
• Perform qualitative and quantitative analysis on Financial Crimes control data to assess risk and impact

The ideal candidate will have 6+ years of experience evaluating Anti-Money Laundering (“AML”) controls across Investigations, Sanctions, Enhanced Due Diligence, and Suspicious Activity Reporting with a Financial Institution (preferably at a large broker or other financial institution with an international client base). Additionally, experience in internal audit, legal, accounting, or other control function of a financial services firm or regulator would be beneficial. 

Qualifications:

• Bachelor’s or Master’s Degree
• Knowledge of AML and trading products (Equities, Options, Futures, FOREX, and Crypto) as well as applicable industry standards
• Experience with SQL, Jira and JQL queries 
• Experience in US and Foreign AML Regulatory regimes
• Understanding of financial crimes data and Software Development Life Cycle (“SDLC”)
• High degree of comfort and fluency of how technology is applied to business and regulatory problems
• Excellent oral and written communication skills
• Detail-oriented with organizational and project management skills
• ACAMS, CFE, CFCS, Series 7, or other FINRA licenses or certifications a plus

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

This role's anticipated base salary range is $115,000  to $150,000 annually based on skill's and experience. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and stock award as well as a wide range of benefits, including health care, tuition reimbursement and much more

Your impact 

As the PKPD Lead, you will develop the quantitative pharmacology strategy of drug discovery projects to deliver high quality clinical candidates, whilst using and contributing to the optimisation of state-of-the-art computational and AI drug design models. As part of the DMPK and Quantitative Pharmacology team, you will champion the use of model-informed drug discovery and development on both small molecule and biologics projects. You will work closely with the Biologics Discovery team to further develop AI models for biologics developability.

If you are an experienced and ambitious scientist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development.

What you will do 

PKPD Lead

• Design and implement quantitative pharmacology strategies with an AI-first approach, from target identification to pre-clinical development.
• Provide scientific leadership and integrate PK and quantitative pharmacology strategies for biologics projects, within the broader project strategy. As a member of the project core team, you will collaborate closely with colleagues in Drug Design, Pharmacology, ML Engineering, and Preclinical and Clinical Development to resolve PK and PD challenges.
• Develop advanced PKPD models for biologics and small molecule projects in collaboration with the DMPK and Pharmacology Leads.
• Contribute to the choice of modality that is the most appropriate for each target. Develop the target molecule profile at the inception of the project.
• Integrate PK, PD and toxicological data to extract decision-making information through mechanistic and empirical models, including dose and safety margin predictions for biologics projects.
• Author PKPD sections of regulatory documents.

ML interactions

• Partner with Machine Learning colleagues to integrate PK and PD aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive models.
• Identify state-of-the-art integration methods that could bring transformational benefits to our platform or ways of working.
• Support the development of the biologics developability platform by identifying high-throughput techniques to predict the PK behaviour of various biologics formats.

CRO interactions

• Since IsomorphicLabs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:
• Ensure high quality and timely data generation to support our portfolio projects.
• Leverage the scientific expertise of our external collaborators to enhance the team's impact.
• Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based developability models.

People

• Mentor junior members of the DMPK and Quantitative Pharmacology  team.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, or Chemistry or another relevant subject.
• 3+ years of related experience in the pharmaceutical industry.
• Experience as a PKPD Lead, solving PKPD-related problems in biologics projects with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing high quality quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling for biologics.

Nice to have:

• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery and development projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will support the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. You use your expertise in PBPK modelling to make data integration a powerful tool to accelerate drug design and preclinical development.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining the Isomorphic Labs now will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Define Iso’s PBPK strategy leading to fit for purpose models that drive drug design and accelerate accelerate preclinical development.
• Design and implement stage-appropriate development DMPK strategies with AI-first approach, integrate the quantitative pharmacology and overall project strategies.
• Design mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise molecule design and formulation based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 5+ years’ professional as a DMPK Lead, solving DMPK-related problems in preclinical development with a track record of working collaboratively to deliver regulatory-ready FIH packages.
• Practical experience in setting up automated PBPK workflows.
• Practical experience in using PBPK to support preclinical development.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling.
• Experience of partnering closely with Preclinical and Clinical teams.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. 

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies.
• Design screening cascade and mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.
• Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 3+ years’ professional experience as a DMPK Lead, solving DMPK-related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology.
• Experience of partnering closely with Preclinical and Clinical teams.
• In depth knowledge of biotransformation.
• In depth knowledge of PK modelling and scaling of ADME properties.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Advanced knowledge of PKPD modelling.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

We are seeking a highly skilled and empathetic Senior CX Researcher to deliver deep customer insights across our leading automotive client's mobile App Operations (App Ops) and Web Operations (Digital Experience - DX) teams. This hybrid role is for a strategic researcher who will split their time 50/50 between these two critical areas, fostering a holistic understanding of the customer journey and ensuring a seamless, high-quality experience across all digital touchpoints. 

You will be instrumental in uncovering user needs, behaviors, and motivations, translating them into actionable recommendations that drive product strategy, design decisions, and ultimately, customer satisfaction and loyalty within the automotive ecosystem. You'll be the voice of the customer, directly influencing the evolution of the client's key digital products. 

What you’ll be doing: 

You are a highly motivated, self-sufficient, and top-tier Senior CX Researcher with a passion for understanding people and solving complex problems. Your expertise spans a wide range of research methodologies, and you are adept at synthesizing diverse data points into clear, compelling narratives that drive business impact. 

• Strategic Research Planning & Execution (Across App & Web): 

• Develop and execute comprehensive research plans, utilizing a blend of qualitative and quantitative methodologies tailored to specific product and business objectives within both App Ops and Web Ops (DX). 

• Design, facilitate, and moderate a variety of research activities, including in-depth interviews, usability testing (on desktop and mobile devices), contextual inquiries, focus groups, surveys, card sorting, and tree testing. 

• Manage participant recruitment, screening, and scheduling for research studies, ensuring diverse and representative samples. 

• Champion user-centered design principles and a research-driven approach throughout both App Ops and Web Ops (DX) teams. 

• App Operations Focus (Approx. 50%): 

• Conduct specialized research into mobile app user behavior, covering aspects like onboarding flows, feature discoverability and adoption, in-app navigation, notification preferences, integration with vehicle features, and overall app performance sentiment. 

• Evaluate existing and proposed app functionalities to identify pain points, usability issues, and opportunities for experience enhancement within the App Operations lifecycle. 

• Analyze mobile-specific analytics data (e.g., app usage metrics, crash reports, session recordings) to inform research questions and validate findings. 

• Web Operations (DX) Focus (Approx. 50%): 

• Lead research efforts for the client's website and other digital platforms, focusing on user journeys related to vehicle configuration, online purchasing, service booking, lead generation, content consumption, and brand engagement. 

• Investigate website information architecture, navigation structures, content effectiveness, and conversion funnels to identify friction points and optimization opportunities. 

• Utilize web analytics data (e.g., Google Analytics, Adobe Analytics, heatmaps) to identify areas requiring deeper qualitative investigation. 

• Analysis, Synthesis & Communication: 

• Analyze research data from various sources (qualitative feedback, quantitative metrics) to identify patterns, themes, and actionable insights. 

• Synthesize complex findings into clear, concise, and compelling deliverables such as research reports, personas, journey maps (detailing cross-channel experiences), user flows, and actionable recommendations. 

• Present research findings and recommendations to diverse stakeholders, from product managers and designers to marketing teams and C-suite executives, adapting communication style and level of detail as appropriate. 

• Maintain a centralized repository of research insights, ensuring findings are discoverable and utilized across both App Ops and Web Ops (DX) teams. 

What we want from you: 

• Extensive Research Experience: 5+ years of hands-on experience as a UX Researcher, CX Researcher, or similar role, demonstrating a broad command of qualitative and quantitative research methodologies. 

• Automotive Industry Acumen: A demonstrated passion for and understanding of the automotive industry, customer segments, vehicle ownership lifecycle, and the role of digital services in modern motoring. 

• Dual-Platform Expertise: Proven experience conducting research across both mobile applications (iOS and Android) and complex web platforms, understanding the unique constraints and opportunities of each. 

• Methodological Versatility: Expertise in designing and executing a wide range of research methods, including but not limited to: usability testing, in-depth interviews, surveys, A/B test analysis, contextual inquiry, and ethnographic studies. 

• Analytical & Data-Driven: Strong analytical skills with the ability to interpret complex data from various sources (analytics platforms, research studies) and translate it into actionable design and business insights. 

• Collaboration & Adaptability: Exceptional collaboration skills, with the ability to seamlessly transition between and effectively support two distinct teams (App Ops and Web Ops/DX) with competing priorities. 

• Communication & Storytelling: Excellent written and verbal communication skills, with the ability to create compelling narratives from research findings and influence stakeholders at all levels. 

• Tool Proficiency: Proficiency with research tools (e.g., UserTesting.com, Qualtrics, Optimal Workshop), analytics platforms (e.g., Google Analytics, Adobe Analytics, Mixpanel, Firebase), and design collaboration tools (e.g., Figma for reviewing prototypes). 

• Strategic & Proactive: Ability to proactively identify research needs, frame problems, and define opportunities that align with business objectives, rather than just responding to requests. 

• Empathy & Customer Advocacy: A deep-seated empathy for the customer and a relentless drive to advocate for their needs throughout the product development lifecycle. 

• Agile Environment Experience: Comfortable operating within agile development methodologies, delivering timely insights to inform iterative product development. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

We are seeking an experienced and insight-led CX Researcher to join a dedicated Customer Journey workstream supporting a high-profile automotive client. This role is focused on understanding and improving the end-to-end customer journey across key automotive experiences — from initial brand discovery and vehicle research through to purchase, ownership, servicing, retention, and loyalty interactions. 

Working closely with CX Strategists, UX Designers, Service Designers, Analysts, Content Strategists, Product teams, and client stakeholders, you will help uncover customer needs, pain points, behavioural patterns, and opportunity areas across both digital and broader connected customer experiences. You will play a critical role in ensuring customer insight directly informs journey design, prioritisation, service improvements, and strategic decision-making across the account. 

This is a highly collaborative role suited to someone who enjoys connecting customer behaviour, operational realities, and business objectives into actionable recommendations that improve experience quality and drive measurable outcomes. 

Key Responsibilities: 

1. Customer Journey Research & Insight Generation:

• Plan and conduct qualitative and quantitative customer research focused on understanding end-to-end automotive customer journeys across multiple touchpoints and channels.  

• Identify customer pain points, unmet needs, behavioural drivers, and moments of friction throughout the ownership and purchase lifecycle.  

• Conduct a range of research methodologies including customer interviews, contextual research, surveys, usability testing, diary studies, journey reviews, ethnographic research, and stakeholder workshops.  

• Synthesise complex research findings into clear, actionable insights that inform customer journey improvements and strategic recommendations.  

• Support journey-focused discovery initiatives across areas such as vehicle research, online and offline purchasing experiences, ownership journeys, servicing, aftersales, retention, and loyalty.  

• Help establish a deeper understanding of evolving customer expectations within the automotive landscape.  

1. Customer Journey Mapping & Experience Strategy:

• Create and maintain customer journey maps, service blueprints, personas, behavioural frameworks, and ecosystem maps that help visualise and communicate customer experiences.  

• Analyse interactions across digital and non-digital touchpoints to identify opportunities for greater consistency, efficiency, and customer satisfaction.  

• Support the definition of customer-centric strategies and recommendations aligned to business objectives and operational priorities.  

• Collaborate with UX, Service Design, Product, Marketing, and Operational teams to ensure customer insight is embedded throughout design and delivery processes.  

• Help prioritise journey improvements based on customer impact, feasibility, and commercial value.  

1. Data, Insight & Continuous Improvement:

• Collaborate with analytics and optimisation teams to combine behavioural data with qualitative customer insight.  

• Use customer feedback, analytics, VOC data, operational insight, and performance reporting to identify emerging trends and opportunities.  

• Support experience measurement frameworks and ongoing journey performance evaluation.  

• Contribute to continuous improvement initiatives by helping validate hypotheses, measure outcomes, and refine recommendations over time.  

• Advocate for evidence-based and customer-centred decision making across the wider programme.  

1. Collaboration & Stakeholder Engagement:

• Work collaboratively with CX Strategists, UX Designers, Service Designers, Analysts, Product Owners, Content Strategists, Developers, Program Managers, and client stakeholders.  

• Facilitate workshops, collaborative working sessions, and playback presentations with both internal teams and client stakeholders.  

• Present research findings and journey insights clearly and confidently to audiences ranging from delivery teams to senior leadership.  

• Help align cross-functional teams around customer needs, experience priorities, and strategic opportunity areas.  

• Contribute positively to team culture, ways of working, and the ongoing maturity of customer journey thinking across the account.  

What we want from you: 

• Strong experience in CX Research, UX Research, Service Design Research, Customer Insight, or related disciplines.  

• Proven experience researching and analysing end-to-end customer journeys across digital and service ecosystems.  

• Strong understanding of customer-centred design principles, behavioural insight, and journey mapping methodologies.  

• Experience conducting both qualitative and quantitative research using a variety of methodologies.  

• Ability to synthesise large volumes of research and operational information into clear, actionable recommendations.  

• Strong experience creating customer journey maps, service blueprints, personas, insight reports, and strategic frameworks.  

• Experience working across complex, enterprise, or multi-channel customer environments.  

• Strong stakeholder management, workshop facilitation, and presentation skills.  

• Ability to balance strategic thinking with hands-on delivery within fast-paced and evolving programmes.  

• Strong collaboration skills with the ability to work effectively across CX, UX, product, analytics, content, and operational teams.  

• Excellent communication and storytelling skills with the ability to make complex customer insight accessible and impactful.  

• Automotive, retail, mobility, travel, financial services, or other customer experience-led industry experience is advantageous but not essential.  

• A proactive, curious, and empathetic mindset with a passion for improving customer experiences through insight-led thinking.  

• A strong portfolio showcasing customer research approaches, journey mapping, and measurable experience improvements is essential. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

We are seeking an experienced and insight-driven CX Researcher to join a dedicated Web Operations (Digital Experience - DX) team supporting a high-profile automotive client. This role is ideal for someone passionate about understanding customer behaviour, uncovering actionable insights, and helping shape data-informed digital experiences across complex web ecosystems. 

Working closely with UX Designers, UI Designers, Analysts, Optimisation specialists, Content Strategists, Developers, Product Owners, and client stakeholders, you will play a key role in identifying customer needs, pain points, behaviours, and opportunities across the client’s digital platforms. You will help ensure customer insight sits at the centre of experience design, optimisation, and operational decision-making across the Web Ops (DX) environment. 

This is a highly collaborative role suited to someone comfortable balancing strategic research initiatives with fast-paced operational support, helping continuously improve customer journeys, digital performance, and overall experience quality through evidence-based recommendations. 

Key Responsibilities: 

1. Customer Research & Insight Generation (Web Operations / Digital Experience Focus):

• Plan, conduct, and synthesise qualitative and quantitative research activities across the client’s web ecosystem.  

• Deliver actionable customer insights that help shape UX improvements, optimisation initiatives, content strategies, and broader digital experience decisions.  

• Conduct a range of research methodologies including user interviews, usability testing, surveys, diary studies, heuristic reviews, competitor analysis, behavioural analysis, and stakeholder workshops.  

• Analyse customer pain points, friction areas, and unmet needs across key automotive customer journeys including research, purchase consideration, ownership, and servicing experiences.  

• Support ongoing operational and optimisation initiatives by identifying opportunities for continuous improvement across digital touchpoints.  

• Translate complex findings into clear, digestible insights and recommendations for both technical and non-technical stakeholders.  

1. Data-Informed Experience Optimisation:

• Collaborate closely with analytics and optimisation teams to combine behavioural data with qualitative customer insight.  

• Support CRO and experimentation initiatives by helping define hypotheses, evaluate user behaviour, and validate design decisions.  

• Use analytics platforms, heatmaps, session recordings, surveys, and customer feedback tools to identify experience improvement opportunities.  

• Help measure the effectiveness of digital experiences and contribute to ongoing optimisation roadmaps.  

• Advocate for evidence-based decision making across the wider DX team and client organisation.  

1. Customer Journey & Experience Strategy Support:

• Develop customer journey maps, personas, behavioural frameworks, and insight reports that support experience strategy and design decision-making.  

• Help identify end-to-end customer experience opportunities across multiple channels and touchpoints.  

• Support workshops and collaborative sessions to align stakeholders around customer needs, priorities, and opportunity areas.  

• Contribute to the definition of customer-centric frameworks, principles, and ways of working within the Web Ops (DX) team.  

• Ensure customer insight is effectively integrated into product, content, UX, and optimisation workflows.  

1. Collaboration & Stakeholder Engagement:

• Work collaboratively with UX Designers, UI Designers, Content Strategists, Analysts, Developers, Product Owners, Program Managers, and client stakeholders.  

• Present research findings, insights, and recommendations clearly and confidently to diverse audiences ranging from delivery teams to senior stakeholders.  

• Collaborate with cross-functional teams to ensure research outputs are actionable, measurable, and aligned to business objectives.  

• Support the prioritisation of customer experience opportunities based on user impact, feasibility, and commercial value.  

• Contribute positively to team culture, research maturity, and continuous improvement initiatives within the DX team.  

What we want from you: 

• Strong experience in CX Research, UX Research, Service Design Research, or related customer insight disciplines within digital environments.  

• Proven experience conducting and synthesising both qualitative and quantitative research methodologies.  

• Strong understanding of digital customer journeys, user behaviour analysis, and customer-centred design principles.  

• Experience working across complex web ecosystems, digital products, or enterprise-level platforms.  

• Ability to translate research findings into clear, actionable insights and strategic recommendations.  

• Strong experience creating research outputs including journey maps, personas, insight reports, workshop outputs, and behavioural analysis.  

• Familiarity with analytics, experimentation, CRO, and behavioural insight tools and methodologies.  

• Strong workshop facilitation, stakeholder engagement, and presentation skills.  

• Comfortable working within fast-paced operational environments managing multiple concurrent priorities and research requests.  

• Strong collaboration skills with the ability to work effectively across UX, UI, analytics, optimisation, content, and development teams.  

• Excellent communication and storytelling skills with the ability to simplify complex information for varied audiences.  

• Automotive, retail, eCommerce, or premium consumer brand experience is advantageous but not essential.  

• A proactive, curious, and solutions-focused mindset with a passion for improving customer experiences through insight-led decision making. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA #LI-AS1

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

We are looking for a Machine Learning Scientist Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.

We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

Responsibilities

• Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots.
• Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
• Stay up to date with the latest research and proactively propose innovative applications.

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. (Master's degree preferred)
• 2+ years of experience in ML or LLM.
• Proficient in Python.
• Proficient in one of the below
  1.Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
  2.LLM applications development techniques: RAG, agent, chatbots.
• Able to evaluate models with systematic and quantitative analysis.
• Strong data intuition and familiarity with basic statistical concepts.

[Preferred qualifications]

• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.

#LI-AK1

• Lead and execute end-to-end projects across both Qualitative and Quantitive research, from initial planning and scoping to synthesis of findings and actionable recommendations, with close collaboration with product, design and engineering partners throughout.
• Conduct specialised research focused on Anaplan's AI-driven products, evaluating their effectiveness, identifying areas for improvement, and exploring new opportunities for innovation.
• Design and execute a range of research methods—including interviews, usability testing, surveys—while managing participant recruitment, logistics, and success metrics.
• Synthesise data from multiple sources (user research, analytics, customer feedback) into clear, actionable insights that drive prioritisation and product outcomes.
• Present research findings and insights to a variety of audiences, including executive leadership, to drive user-centered strategy.
• Champion the application of AI-powered tools and methodologies within the research process to enhance efficiency and uncover deeper insights.
• Lead on research practices, tools, and ways of working, while educating and supporting partners on when and how to apply research effectively.

• Proven experience in a senior research position, with a track record of leading high-impact research projects for both strategic and tactical product innovations.
• Deep understanding of core research methods and experience conducting user research on complex products, including AI-powered products.
• Strong ability to analyse and synthesise qualitative and quantitative data into clear insights that influence product direction.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.
• Hands-on experience utilising AI-powered tools (e.g., automated analysis, sentiment analysis, predictive modelling) to enhance the research process.
• Proven ability to work effectively in a collaborative, fast-paced environment with senior stakeholders and to manage multiple projects simultaneously.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.

• Experience in B2B or SaaS environments, particularly with complex, data-rich products.
• Experience in strategic research for AI-powered products.
• Familiarity with enterprise domains such as financial planning, forecasting, or decision-making tools.
• Background in Human-Computer Interaction, Psychology, or a related field.

• Lead and execute end-to-end projects across both Qualitative and Quantitive research, from initial planning and scoping to synthesis of findings and actionable recommendations, with close collaboration with product, design and engineering partners throughout.
• Conduct specialised research focused on Anaplan's AI-driven products, evaluating their effectiveness, identifying areas for improvement, and exploring new opportunities for innovation.
• Design and execute a range of research methods—including interviews, usability testing, surveys—while managing participant recruitment, logistics, and success metrics.
• Synthesise data from multiple sources (user research, analytics, customer feedback) into clear, actionable insights that drive prioritisation and product outcomes.
• Present research findings and insights to a variety of audiences, including executive leadership, to drive user-centered strategy.
• Champion the application of AI-powered tools and methodologies within the research process to enhance efficiency and uncover deeper insights.
• Lead on research practices, tools, and ways of working, while educating and supporting partners on when and how to apply research effectively.

• Proven experience in a senior research position, with a track record of leading high-impact research projects for both strategic and tactical product innovations.
• Deep understanding of core research methods and experience conducting user research on complex products, including AI-powered products.
• Strong ability to analyse and synthesise qualitative and quantitative data into clear insights that influence product direction.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.
• Hands-on experience utilising AI-powered tools (e.g., automated analysis, sentiment analysis, predictive modelling) to enhance the research process.
• Proven ability to work effectively in a collaborative, fast-paced environment with senior stakeholders and to manage multiple projects simultaneously.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.

• Experience in B2B or SaaS environments, particularly with complex, data-rich products.
• Experience in strategic research for AI-powered products.
• Familiarity with enterprise domains such as financial planning, forecasting, or decision-making tools.
• Background in Human-Computer Interaction, Psychology, or a related field.

Role Overview: 

As a Consultant – Analytics - COE, you will design, execute, and scale analytical workstreams that power ClearView’s client engagements. You will work on projects such as ATUs, forecasting, conjoint analyses, proprietary data mining and survey designing and coding (e.g., Qualtrics), while contributing to tool development and analytics automation for the firm. As a CoE team member, you will support global project teams in structuring, analyzing, and visualizing complex datasets to inform strategic recommendations for life sciences clients. You will combine strong analytical skills with an understanding of life sciences to help answer critical questions across the product lifecycle.

Key Responsibilities:

• Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.
• Collect, clean, structure, and validate data from multiple sources, including sales, claims, epidemiology, primary research outputs, and internal proprietary datasets.
• Design, program, and analyze quantitative surveys, including ATUs, demand assessments, and pricing research; support project teams in defining sampling plans and questionnaire logic.
• Build and maintain quantitative models for market sizing, forecasting (patient based and sales based), patient flow, scenario testing, and pricing / contracting simulations across a variety of therapeutic areas and business questions.
• Conduct conjoint / discrete choice and related trade off analyses, including experimental design, model estimation, and result visualization under guidance from senior team members.
• Support web crawling and data harvesting efforts to automate tracking of markets, competitors, and financial / deal activity where appropriate.
• Develop and maintain reusable analytical assets (e.g., standard forecast frameworks, KPI dashboards, ATU codebooks, pricing simulators) that can support multiple types of strategic work, including launch, access, and corporate growth questions.
• Develop dashboards and visuzalizations (e.g., in Excel, PowerPoint or BI tools) that clearly communicate key findings and trends to internal and client stakeholders.
• Support the creation and refinement of reusable analytical tools and templates (e.g., standard forecast models, patient flow frameworks, KPI trackers).
• Document assumptions, methodologies and data sources to ensure transparency, reproducibility, and efficient hands offs across global teams.
• Collaborate closely with Insights and consulting teams to integrate analytics outputs into cohesive storyline and client deliverables.
• Contribute to internal capability building by sharing analytical best practices and participating in developing training material and code or template libraries.

Qualifications & Requirements:

• 4–6 years of experience in analytics, forecasting, or data driven roles within life sciences consulting, pharma, healthcare analytics, or related sectors; strong analytical internships may be considered.
• Undergraduate or Master’s degree in a quantitative or life sciences field (e.g., engineering, statistics, mathematics, economics, biostatistics, pharmacy, biotechnology).
• Strong quantitative and problem-solving skills, with the ability to decompose ambiguous business questions into structured analytical workplans.
• Advanced Excel skills (e.g., advanced formulas, pivot tables, basic data modeling, Macros/VBA); exposure to forecasting and scenario analysis preferred.
• Experience with at least one analytical or programming tool (e.g., R, Python, SQL, or a BI platform such as Power BI/Tableau) is a plus; willingness to learn these tools is essential.
• Strong attention to detail and comfort working with large or complex datasets, including data integrity checks and reconciliation.
• Clear written and verbal communication skills in English, with the ability to explain analytical approaches and results to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment supporting multiple projects and time zones.
• Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

Our APAC Engineering teams work across a wide range of systems, including trading algorithm implementation, pricing, and the optimisation of our research processes and techniques. Engineers collaborate closely with Traders, Quant Researchers, and other engineering teams to build scalable, high-performance solutions that directly impact trading outcomes.

In Hong Kong, developers partner closely with Quant Research to design and enhance the tools and platforms that underpin our research environment. This includes building systems that enable large-scale computation on distributed clusters, supporting the exploration of new trading strategies, model training, and high-fidelity backtesting.

Your Core Responsibilities: 

• Design, build, and maintain high-performance Python applications that support quantitative research and trading
• Partner closely with Quant Researchers and Traders to translate research ideas into scalable, production-ready systems
• Develop and enhance research frameworks, simulation environments, and backtesting capabilities
• Optimise data pipelines and workflows to improve research velocity and model iteration speed
• Own systems end-to-end, from initial design through to deployment and continuous improvement
• Implement automation and tooling to increase efficiency and reliability across the research lifecycle
• Balance trade-offs across performance, scalability, and maintainability in a complex, high-performance environment
•  

Your Skills and Experience:

• 5+ years of professional software engineering experience, with strong Python expertise
• Strong foundations in data structures, algorithms, and software design
• Experience building scalable systems, ideally in data-intensive or distributed environments
• Proven ability to work closely with stakeholders to solve complex, ambiguous problems
• A proactive mindset with a strong sense of ownership

#LI-DNI

At IMC, technology is not a department it’s at the heart of everything we do. Our in-house built systems make millions of trading decisions every day, and our edge comes from making better, faster decisions than the competition.

Our engineers build software that sits directly in the latency-critical path of our trading systems. From exchange connectivity and market data handling to pricing, risk management, and order execution, our technology underpins every part of the trading lifecycle. In Hong Kong, you’ll work closely with Traders and Quant Researchers to develop high-performance systems that operate at scale in highly competitive global markets.

Your Core Responsibilities: 

As a C++ Engineer, you will design and build performance-critical components that power our trading systems, working in close partnership with Traders, Researchers, and other engineers.

• Design, build and optimise high-performance C++ trading systems that power pricing, risk management and order strategy across equities markets, ensuring robust and scalable performance in live trading environments.
• Work closely with Traders and Quant Researchers to translate trading ideas into efficient, production-ready systems
• Continuously improve system performance through profiling, optimisation, and thoughtful systems design
• Own the full development lifecycle, from design and implementation through to deployment and monitoring
• Navigate complex trade-offs between latency, throughput, scalability, and maintainability in a real-time environment

Your Skills and Experience: 

• Strong programming skills in C++. Experience in latest versions of C++ highly desirable
• Solid understanding of systems programming concepts, including concurrency, memory management, and performance optimisation
• Experience working in Linux environments
• Proven ability to build and optimise high-performance systems
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Comfortable working closely with stakeholders to deliver impactful solutions

#LI-DNI

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.