Unchain Data

About MoonPay MoonPay is for builders with something to prove. This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia. AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters. You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together. The bar is high. The pace is real. We're building for what's next, for humans and agents. Recent recognition: Forbes' America's Best Startup Employers 2026, 2nd in Crypto Services on Fortune's inaugural Crypto 100, The Sunday Times Best Places to Work two years running. Locations Supported London, UK (primary) Remote (Europe) Relocation available: Case by case Work pattern: Remote across Europe, with hybrid working encouraged if you're near a Moonbase (around 2 to 3 days per week in the London office). About the Opportunity In this role, you'll help shape MoonPay's product and business decisions through data, combining deep analysis, experimentation, and strong stakeholder partnership to drive real impact. You'll sit within our centralised Product Data team and work closely with Product and Engineering, owning analytics across the full product lifecycle, from defining problems and success metrics through to launching, measuring, and optimising products at scale. Your work will directly influence product strategy, customer experience, and business health, helping teams make better, faster decisions through trusted insights and clear narratives. You'll also raise the leverage of the whole team by building reusable, AI-assisted analytics skills that let the wider org self-serve reliable answers. This is a great opportunity for someone who enjoys turning complex data into clear direction, influencing decisions, and helping shape the future of high-impact financial and crypto products. Responsibilities Partner with product and business teams to run rigorous analysis (root cause, opportunity sizing, funnel drop-off) and turn it into clear, prioritised recommendations, moving across problem areas as priorities shift. Define, document, and maintain clear metric definitions and business context, so stakeholders can understand the performance of their area and AI tools can interpret our metrics correctly (e.g. Transaction Success Rate, Fraud Rate). Set up tracking and monitoring for new launches and changes, and quantify and measure their impact on KPIs. Build and maintain a reporting layer, with automated alerting and root cause analysis that flags when KPIs move unexpectedly and why. Design, run, and interpret experiments, from A/B tests to quasi-experimental methods like difference-in-differences when randomisation not possible. Model robust, trusted data in our dbt and BigQuery layer, safeguarding its quality through testing, documentation, and certification in collaboration with engineering. Create reusable, AI-assisted analytics skills that scale the team's impact and help Product and Engineering self-serve. Communicate complex concepts and findings to technical and non-technical audiences across different teams, while ensuring clarity and understanding to drive critical business decisions. Requirements 5+ years of hands on experience as a data analyst or data scientist, preferably in a product focused role. Advanced SQL and data visualisation are second nature to you. Hands on experience building data models in a modern cloud warehouse and transformation framework (e.g. dbt with BigQuery, Snowflake), with a strong instinct for data quality. A solid grasp of statistics and probability, including experiment design and interpretation (A/B and quasi experimental methods such as difference in differences). A working understanding of how a payments or fintech business operates, including fraud, chargebacks, KYC/AML, and payment success rates. Comfort using AI assisted and LLM tools to accelerate analysis, and curiosity about building reusable skills that scale your impact. Exceptional communication and stakeholder skills. You can distill complex findings for any audience up to C level, and lead projects independently. Nice to Have Familiarity with our stack (dbt, BigQuery, Looker, Python) and AI tooling such as Claude Code. Hands on financial crime, payments, or fraud analytics experience. Experience working in start ups or scale ups. A crypto native perspective and experience with on chain and blockchain data (e.g. Dune, Flipside, Chainalysis). Experience making data self serve for non analysts (e.g. semantic layers, metric stores). Benefits & Perks Competitive salary package Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay Pay for performance equity bonus: those who drive outsized outcomes receive outsized rewards Moonshot award: we honor exceptional impact. 10 employees twice a year, each earning a $250,000 equity grant Pension: employer contributions from day one Employee referral program: refer great people, earn 10K in USDC Flexible Time Off: choose when to work and when to switch off Birthday leave: take the day off to celebrate you Enhanced parental leave: more time with family, no second thought Hybrid working schedule: work fully remotely or from your nearest Moonbase Commuter benefits: public transport to and from the office Private healthcare benefits: to protect you and your loved ones Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership Unlimited enterprise access to the latest AI tools: Claude, ChatGPT, Gemini and whatever's next Lunch credit: meals covered on the days you're in the office Home office setup allowance: build the home office of your dreams Remote working allowance: those working fully remotely get a little extra for utilities Monthly product budget and zero fee crypto transactions $1,000 Annual training budget: we support your learning journey High Potential Program: structured development, mentorship, and stretch opportunities Regular remote company offsites: high impact in person sessions and hackathons (Ireland) Cycle to Work scheme: tax efficient bike, gear, and safety kit (UK) EV Salary Sacrifice: lease an electric vehicle through pre tax salary

MoonPay is seeking a data-focused analytics expert to shape product decisions through deep analysis and trusted insights. You'll join the Product Data team, partnering with Product and Engineering to own analytics across the lifecycle-from problem framing to measuring impact. You'll build AI-assisted analytics, scalable reporting, and clear storytelling for audiences up to C-level, enabling fast, confident decisions in payments and fintech products.

The Role is looking for a Business Analyst to support strategic products, markets, and customer segments within the Consumer business. This is a high-impact analytical and product-oriented role focused on business performance, growth opportunities, customer insights, product execution, and operational excellence. You will work closely with Business Leads, Product, Engineering, Trading, Risk, Compliance, Marketing, Finance, and Regional teams to help identify opportunities, shape product priorities, build business cases, track performance, and support the launch of new initiatives. Responsibilities Support the strategy, roadmap, and commercial performance of key business areas within Consumer. Analyze business performance across users, activity, revenue, margin, retention, volume, conversion, and P&L. Work with Business Leads and Product Managers to identify product opportunities, define problem statements, and support prioritization. Translate business goals, customer insights, and data analysis into clear product recommendations. Build dashboards, reports, and analysis to help teams understand performance, diagnose issues, and identify opportunities. Support business cases for new products, features, markets, or customer propositions, including market size, customer demand, economics, operational requirements, and risk. Partner with Product and Engineering to help define requirements, clarify trade-offs, and support delivery of customer-facing features. Support product launches by coordinating inputs across Product, Engineering, Marketing, CRM, Growth, Compliance, Operations, and Regional teams. Work with Trading, Treasury, Risk, Finance, and Compliance to analyze pricing, economics, risk controls, and profitability. Track competitors, customer behavior, and market trends to identify opportunities to differentiate and win share. Help establish a clear operating cadence around performance tracking, experimentation, launches, product reviews, and business reviews. Requirements Experience in business analysis, product analytics, product operations, strategy, growth, fintech, crypto, payments, consulting, or consumer technology. Strong analytical skills and comfort working with data, business modeling, funnels, unit economics, pricing, conversion, retention, and profitability. Ability to turn data, customer insights, and business problems into clear product recommendations. Strong product judgment and strong interest in building customer-facing products. Ability to work closely with Product and Engineering teams, including helping define requirements, prioritize opportunities, and support execution. Strong communication skills and ability to present findings clearly to cross-functional stakeholders. Comfort operating in a fast-moving, ambiguous environment. High ownership, attention to detail, and willingness to work across both strategic analysis and hands-on product execution. Interest in crypto, fintech, consumer products, and high-growth businesses. Benefits Full-time salary based on experience and meaningful equity in an industry-leading company Role based in our London office, with a mandatory in-office presence four days per week Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year. ClassPass Budgets for learning and professional development Unlimited vacation policy; work hard and take time when you need it Apple equipment The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field Flexible work culture

Unchain Data is looking for a Business Analyst to drive strategic products and customer insights within the Consumer business in Greater London. This high-impact role emphasizes analytics, product execution, and cross-team collaboration. You will analyze business performance, define product opportunities, and support launches while working closely with various functions such as Engineering, Trading, and Marketing. The role requires strong analytical skills, a background in fintech or consumer tech, and a proactive approach to problem-solving.

Unchain Data is seeking a skilled Machine Learning Engineer to optimize ML systems and enhance AI capabilities. The role involves consulting on objectives, designing self-running systems, and analyzing data to improve predictive accuracy. Ideal candidates will possess a Bachelor's in a relevant field and at least two years of experience in machine learning. Proficiency in Python, Java, and R is essential, along with a deep understanding of statistics and algorithms.

About Token Metrics Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. As a machine learning engineer, you should demonstrate solid data science knowledge and experience. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models. Responsibilities Consulting with the manager to determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Stress testing, performing statistical analysis, and interpreting test results for all market conditions. Documenting machine learning processes. Keeping abreast of developments in machine learning. Requirements Bachelor's degree in computer science, data science, mathematics, or a related field. Master's degree in computational linguistics, data science, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer. Advanced proficiency with Python, Java, and R code. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. LLM fine-tuning experience and working with LLM Observability In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. Experience with crypto or web3 projects About the Company Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.

Unchain Data is looking for a Senior Crypto Data Engineer to enhance its data capabilities. This role involves constructing frameworks and data pipelines to prepare information for analysis using a range of technologies including SQL, Python, Java, and C++. The ideal candidate should have over 3 years of relevant experience in data engineering and be adept at working in both collaborative and independent settings. The position is based in England, London, and requires strong analytical skills along with a knack for problem-solving.

Senior Crypto Data Engineer (Global) at Token Metrics Inc. About Us Token Metrics helps crypto investors build profitable portfolios using artificial intelligence-based crypto indices, rankings, and price predictions. Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries. The Role Token Metrics is seeking a multi-talented Senior Big Data Engineer to facilitate the operations of our Data Scientists and Engineering team. The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C++. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project. Responsibilities Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Building a data pipeline from different data sources using different data types like API, CSV, JSON, etc. Preparing raw data for manipulation by Data Scientists. Implementing proper data validation and data reconciliation methodologies. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. Requirements Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field. A Master's degree in a relevant field is an added advantage. 3+ years of Python, Java or any programming language development experience 3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus) 3+ years of experience with schema design and dimensional data modeling Expert proficiency in SQL, NoSQL, Python, C++, Java, R. Expert with building Data Lake, Data Warehouse or suitable equivalent. Expert in AWS Cloud. Excellent analytical and problem-solving skills. A knack for independence and group work. Capacity to successfully manage a pipeline of duties with minimal supervision. Location England, London, United Kingdom