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The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.We're looking for a Senior Data Scientist to join our Research and Intelligence organisation in London. You'll sit within one of our four research chapters, Account and Smart Contracts, embedded in a broader eleven-person team that develops the behavioural heuristics, graph algorithms, and machine learning techniques that power the most advanced blockchain analysis in the industry. Much of what we work on is state of the art, and often ahead of academia, and your work will directly shape the data that fuels Chainalysis' products and customers across the globe.This role is ideal for someone who is energised by deeply technical, ambiguous problems at the intersection of data science, graph computation, and on-chain analysis, and who wants to take ownership of projects end-to-end.In this role, you'll:<ul><li>Own the execution of one or more production data science projects, translating broad problem statements into well-scoped tasks and credible analytical results that meet stakeholder expectations.</li><li>Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on-chain activity and uncover new insights.</li><li>Apply advanced techniques including graph computation, statistical modeling, and machine learning to large-scale on-chain datasets.</li><li>Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack.</li><li>Clearly articulate and defend methodology and results to both technical and non-technical stakeholders, maintaining alignment through consistent communication.</li><li>Mentor junior team members, contribute to technical hiring, and share knowledge.</li><li>Collaborate closely with peers to bring research from prototype to production.</li></ul>We're looking for candidates who have:<ul><li>A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data-intensive problems.</li><li>Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code.</li><li>Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets.</li><li>Comfort working with EVM-based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data structures and protocols.</li><li>A demonstrated ability to take ownership of projects: decomposing requirements, driving them to completion, and proactively seeking clarity from stakeholders.</li><li>An analytical, open-minded approach to problem solving – comfortable navigating ambiguity and willing to dive into problems outside your day-to-day scope.</li><li>Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences.</li></ul>You might also have:<ul><li>Familiarity with Databricks, DBT, Spark/PySpark, or similar large-scale data platforms.</li><li>Modified infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines.</li><li>Mentored junior data scientists or engineers.</li><li>Knowledge of, or passion for, the cryptocurrency and blockchain space.</li></ul>Technologies we use:<ul><li>Python</li><li>SQL</li><li>Databricks</li><li>DBT</li><li>PySpark / Spark</li><li>Terraform</li><li>AWS</li><li>Postgres</li></ul>AI at ChainalysisAI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.About ChainalysisChainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more <a href="https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf" rel="noopener noreferrer nofollow ugc" target="_blank">here</a>. We can’t wait to meet you.

Senior Data Scientist

Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy.Why?Because crypto and blockchain aren’t just technologies—they’re tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach.What we doAt MoonPay, we’re building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently.Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide.We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. And we’re committed to doing it right—fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia—because trust and compliance are non-negotiable.But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be.If you believe financial freedom should be for everyone—if you believe in building a fairer, more open financial system—we want you with us. To build systems that benefit all, we need contributions from all, regardless of background.Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal.<h3>🚀 What you will do </h3><ul><ul><li>Build and integrate ML solutions for evaluating transactions and customers’ behaviour in real-time and offline environments</li><li>Support multiple Crypto products with tailored ML solutions to prevent fraudulent activities</li><li>Experiment with various modeling techniques on our customer data and see your solution through to production by partnering cross-functionally with product, data, operations, and engineering teams</li><li>Analyze large datasets using SQL, Python and Apache Beam to surface features</li><li>Help build AI-powered automation tools or pipelines and propose improvements across the company</li><li>Own the full lifecycle of ML solutions: data ingestion / processing → feature engineering → model development → deployment → iteration</li><li>Maintain and improve our existing codebase, expanding our internal ML libraries and pipelines</li></ul></ul><h3>💻 What you will be working with </h3><ul><ul><li>Python</li><li>ML feature engineering for fraud prevention</li><li>Gradient boosting algorithms (e.g. XGBoost/CatBoost)</li><li>PyTorch</li><li>Polars, Pandas and Numpy</li><li>BigQuery</li><li>Apache Beam</li><li>BigTable</li><li>FastAPI</li><li>Docker and Kubernetes</li><li>Kubeflow and Airflow</li><li>Vertex AI</li><li>Redis</li><li>Pydantic</li><li>DataDog</li><li>Github</li></ul></ul><h3>🧑‍🚀 About You </h3><ul><ul><li>Experienced in Machine Learning at leading Fintech startups or fast growing tech companies</li><li>Confident in developing, releasing and maintaining ML models in a fast paced, iterative environment</li><li>Experienced with some of our tech stack, or are confident you can cross train and up skill quickly</li><li>Real world experience working with time series data for classification, counterfactual reasoning and adversarial models</li><li>Understand data structures, pipelines and big data processing for real-time consumption</li><li>Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure</li></ul></ul>We’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy  on the global financial system. Our values:B - Be HungryL - Level UpO - Own ItC - Crypto CuriousK - KaizenWhat’s in it for you💰Competitive salary package 🤝 Equity package: We believe 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.🏝 Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)🌍 Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours 🩺 Private Healthcare benefits: To protect you and your loved ones 🍼 Enhanced parental leave: So you can spend more time with your loved ones without a second thought📚 Annual training budget: We support your training journey every step of the way 🪑 Home office setup allowance: Create the home office of your dreams 👛 Remote working allowance: Those working fully remotely get a little extra for utilities 💰 Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN 💰 Employee referral programme: Great people know great people, refer them to receive 10K in USDC ✈️ Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons 🚀 Working in a disruptive and fast-growing company where excellence is rewarded What’s it like to work at MoonPay?At MoonPay, you’ll work alongside driven, resourceful people who are passionate about excellence in everything they do. Kaizen is more than just a saying here, it’s a mindset. We encourage you to think big, take risks, and push the boundaries of what’s possible, knowing you have the support of a team that wants to see you grow. We’re listed in the <a href="https://www.thetimes.com/best-places-to-work/medium-companies/article/best-medium-companies-uk-2025-6h5mzgkwc" rel="noopener noreferrer nofollow ugc" target="_blank">Sunday Times best places to work guide</a> and consistently strive to provide an environment where everyone feels they can their best work.Whether you’re remote or collaborating with teammates around the world, you’ll find opportunities here to do the best work of your career while shaping the future of the decentralized economy.Commitment To DiversityResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of <a href="http://absence.moonpay/" rel="noopener noreferrer nofollow ugc" target="_blank">absence.MoonPay</a> is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Machine Learning Engineer

About MoonPayHi, we’re MoonPay. We’re here to onboard the world to the decentralized economy by making digital money move as universally and effortlessly as the internet.Why?Because crypto, stablecoins and blockchain aren’t just technologies. They’re tools for global financial empowerment. They give people and businesses more control over their money, their digital assets, and their future, opening access to legacy financial systems that have been out of reach for many.What we doMoonPay is a unified payments platform for digital currency. We make it easy for anyone, anywhere, to buy, sell, swap and pay in digital currencies as easy as sending an email. That simplicity is intentional, our focus is reducing complexity so people can participate confidently, without needing to be crypto experts. We power the entire flow between fiat and crypto end to end, with compliance, identity checks, fraud prevention, and settlement all built in. This end-to-end approach reflects how we work internally: with accountability, rigor, and trust built into everything we ship.Proven at scaleTrusted by over 30 million customers and over 500 ecosystem partners, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide. Behind those numbers are millions of real people and organizations relying on MoonPay every day. We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. This is an opportunity to help shape systems, not just scale them. And we’re committed to doing it right. Fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia, because trust and compliance are non-negotiable. But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be. If you believe financial freedom should be for everyone. If you believe in building a fairer, more open financial system - we want you with us. To build systems that benefit all, we need contributions from all, regardless of background. Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal.About the OpportunityIn this role, you will play a key part in shaping MoonPay’s product and payments strategy through data, combining deep analysis, experimentation, and strong stakeholder partnerships to drive meaningful business impact.You will sit within the Data Science team and work closely with Product & Engineering, taking ownership of 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 key business outcomes, enabling teams to make better, faster decisions through trusted insights, clear narratives, and scalable data products.This is a great opportunity for someone who wants to operate at the intersection of data, product, and strategy,  someone who enjoys turning complex data into clear direction, influencing decisions, and helping shape the future of high-impact financial and crypto products.Locations Supported 🌍UKSpainPortugal(or any other target locations)Relocation available: Case by caseWork pattern: Remote (although hybrid if near a Moonbase is encouraged)<h3>What You Will Do</h3><ul><ul><li>Provide insights and recommendations to stakeholders based on a deep understanding of MoonPay products, and be able to identify and drive new opportunities for product improvements </li><li>Work closely with our payments product vertical and business stakeholders to review product performance, look for opportunities to optimize our products, and deliver data driven strategies for increased product performance.</li><li>Define KPIs, design tracking and set up monitoring for new product launches & changes.</li><li>Oversee and implement A/B tests and other experiments to drive forward optimization efforts</li><li>Design, build and scale both internal and external data products, which drive informed decision making, examples include: dashboards, reports, data models, algorithms, integrations into other product lines.</li><li>Communicate complex concepts and findings to technical and non-technical audiences across different teams, while ensuring clarity and understanding to drive critical business decisions.</li></ul></ul><h3>About You</h3><ul><ul><li>Must-have experience and skills:</li><li>4+ years of hands-on experience as a data scientist or data analyst, preferably in a product-focused role.</li><li>Advanced SQL, data modelling, and data visualisation tools are second nature to you.</li><li>An understanding of the fundamentals of statistics and probability, including experience in conducting large-scale A/B tests.</li><li>Experience working with product teams in an analytics role.</li><li>An active interest in cryptocurrency, and have interacted with crypto/blockchains in the past </li><li>Experience working within the fintech and/or crypto space is preferred</li><li>The versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment.</li><li>Exceptional communication skills and can clearly summarise complex data findings and decisions to various levels of audiences.</li><li>Nice-to-have experience:</li><li>Worked with DBT, Google BigQuery, Looker and Python</li><li>Experience working in start-ups or scale-ups</li><li>Worked within the payments space</li></ul></ul><h3>Bonus Points</h3><ul><ul><li>Worked with blockchain data (e.g. explored on-chain activity through Dune, Flipside, or other tools)</li><li>Working knowledge of Machine Learning principles and experience partnering or driving  ML initiatives</li></ul></ul>BLOCK Values We’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy on the global financial system. Our values:B - Be HungryL - Level UpO - Own ItC - Crypto CuriousK - KaizenResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.Benefits & Perks 💡💰Competitive salary package 🤝 Equity package: We believe 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.🏝 Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)🌍 Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours 🩺 Private Healthcare benefits: To protect you and your loved ones 🍼 Enhanced parental leave: So you can spend more time with your loved ones without a second thought📚 Annual training budget: We support your training journey every step of the way 🪑 Home office setup allowance: Create the home office of your dreams 👛 Remote working allowance: Those working fully remotely get a little extra for utilities 💰 Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN 💰 Employee referral programme: Great people know great people, refer them to receive 10K in USDC ✈️ Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons 🚀 Working in a disruptive and fast-growing company where excellence is rewarded Commitment To DiversityAt MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Product Data Scientist

About MoonPayHi, we’re MoonPay. We’re here to onboard the world to the decentralized economy by making digital money move as universally and effortlessly as the internet.Why?Because crypto, stablecoins and blockchain aren’t just technologies. They’re tools for global financial empowerment. They give people and businesses more control over their money, their digital assets, and their future, opening access to legacy financial systems that have been out of reach for many.What we doMoonPay is a unified payments platform for digital currency. We make it easy for anyone, anywhere, to buy, sell, swap and pay in digital currencies as easy as sending an email. That simplicity is intentional, our focus is reducing complexity so people can participate confidently, without needing to be crypto experts. We power the entire flow between fiat and crypto end to end, with compliance, identity checks, fraud prevention, and settlement all built in. This end-to-end approach reflects how we work internally: with accountability, rigor, and trust built into everything we ship.Proven at scaleTrusted by over 30 million customers and over 500 ecosystem partners, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide. Behind those numbers are millions of real people and organizations relying on MoonPay every day. We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. This is an opportunity to help shape systems, not just scale them. And we’re committed to doing it right. Fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia, because trust and compliance are non-negotiable. But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be. If you believe financial freedom should be for everyone. If you believe in building a fairer, more open financial system - we want you with us. To build systems that benefit all, we need contributions from all, regardless of background. Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal.USA Salary Range 191,737$ - 235,214$ /year<h3>🌔 About the Opportunity</h3>Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / FinCrime / KYC / Core Product and others. For this role, the initial focus will be on working on our FinCrime products, while mastering other product areas to then spearhead ML and AI adoption in the company.<h3>🚀 What you will do</h3><ul><li>Build and integrate ML solutions for evaluating transactions and customers’ behaviour in real-time and offline environments</li><li>Support multiple Crypto products with tailored ML solutions to prevent fraudulent activities</li><li>Experiment with various modeling techniques on our customer data and see your solution through to production by partnering cross-functionally with product, data, operations, and engineering teams</li><li>Analyze large datasets using SQL, Python and Apache Beam to surface features</li><li>Help build AI-powered automation tools or pipelines and propose improvements across the company</li><li>Own the full lifecycle of ML solutions: data ingestion / processing → feature engineering → model development → deployment → iteration</li><li>Maintain and improve our existing codebase, expanding our internal ML libraries and pipelines</li></ul><h3>💻 What you will be working with/on</h3><ul><li>Python</li><li>ML feature engineering for fraud prevention</li><li>Gradient boosting algorithms (e.g. XGBoost/CatBoost)</li><li>PyTorch</li><li>Polars, Pandas and Numpy</li><li>BigQuery</li><li>Apache Beam</li><li>BigTable</li><li>FastAPI</li><li>Docker and Kubernetes</li><li>Kubeflow and Airflow</li><li>Vertex AI</li><li>Redis</li><li>Pydantic</li><li>DataDog</li><li>Github</li></ul><h3>🧑‍🚀 About You</h3><ul><li>Experienced in Machine Learning at leading Fintech startups or fast growing tech companies</li><li>Confident in developing, releasing and maintaining ML models in a fast paced, iterative environment</li><li>Experienced with some of our tech stack, or are confident you can cross train and up skill quickly</li><li>Real world experience working with time series data for classification, counterfactual reasoning and adversarial models</li><li>Understand data structures, pipelines and big data processing for real-time consumption</li><li>Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure</li></ul>BLOCK Values We’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy on the global financial system. Our values:B - Be HungryL - Level UpO - Own ItC - Crypto CuriousK - KaizenResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.Benefits & Perks 💡💰Competitive salary package 🤝 Equity package: We believe 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.🏝 Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)🌍 Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours 🩺 Private Healthcare benefits: To protect you and your loved ones 🍼 Enhanced parental leave: So you can spend more time with your loved ones without a second thought📚 Annual training budget: We support your training journey every step of the way 🪑 Home office setup allowance: Create the home office of your dreams 👛 Remote working allowance: Those working fully remotely get a little extra for utilities 💰 Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN 💰 Employee referral programme: Great people know great people, refer them to receive 10K in USDC ✈️ Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons 🚀 Working in a disruptive and fast-growing company where excellence is rewarded Commitment To DiversityAt MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure.  This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer.The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time P&L visualization tools.<h3>Key Responsibilities: </h3><ul><ul><li>1. Trading Operations and P&L Analysis with AI</li><li>Manage the end-to-end lifecycle of trades across multi-asset classes.  Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations</li><li>Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports.</li><li>Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.</li><li>2. Risk Monitoring & Control</li><li>Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks.</li><li>Develop and maintain sophisticated risk reporting dashboards for the desk.</li></ul></ul><h3>Requirements & Qualifications</h3><ul><ul><li>Experience: 5+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.</li><li>Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.</li><li>Financial Acumen: Deep understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.</li><li>Problem Solving: A "systems-thinking" approach to operations—treating every manual task as a bug that needs an automated solution.</li><li>Capacity: Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands.</li><li>Agility: Willingness to participate in a rotational weekend and on-call schedule, providing immediate resolution to live production issues</li></ul></ul>We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.

Trading Ops & Risk Systems Engineer (AI & Automation)

15 link clicks.

eToro

We are looking for an AI Software Engineer to join our team in Limassol, Cyprus. In this role, you will be responsible for developing and implementing machine learning algorithms and AI applications to improve our products and services.

AI Software Engineer

Limassol

2 link clicks.

Graph and Data Engineer

Staff Machine Learning Engineer

Web3 Machine Learning jobs in EuropeeToro, zerohash, MoonPay and other crypto companies

Browse 3+ Web3 Machine Learning jobs in Europe at eToro, zerohash, MoonPay. Apply now! Updated October 2026

Job Title	Company Name	Salary	Location	Tags
AI Software Engineer	eToro		📍 Limassol, Cyprus	AIMachine LearningEngineeringFull Time
Graph and Data Engineer	zerohash			DataMachine LearningRemoteFull Time
Staff Machine Learning Engineer	MoonPay		📍 London - Hybrid	Machine LearningEngineeringBackendSenior
Past and filled jobs:
Senior Data Scientist	Chainalysis			SeniorDataMachine LearningResearch
Senior Machine Learning Engineer	MoonPay			RemoteWeb3ResearchDeveloper
Senior Product Data Scientist	MoonPay			RemoteWeb3EngineeringAnalyst
Senior Machine Learning Engineer	MoonPay	191k-235k/year		RemoteWeb3DeveloperEngineering
Trading Ops & Risk Systems Engineer (AI & Automation)	Crypto.com		📍 London, United Kingdom	Web3DeveloperTradingPython

Web3 Machine Learning Jobs in Europe

Latest Machine Learning Jobs.

Past and filled jobs:

AI Software Engineer

eToro

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