Source Job

• Build advanced machine learning models to detect and prevent financial crime, reducing fraud and scams.
• Work cross-functionally with product managers, data scientists, and engineers in an agile environment.
• Provide technical leadership and mentorship to drive up standards in machine learning practices.

Monzo is on a mission to make money work for everyone by offering personal and business bank accounts, savings, investments, and credit cards in the UK. With over 25 people in the Financial Crime Data team, we foster a culture of innovation and inclusivity.

• Build and ship ML models to help customers search and find answers about their financial lives.
• Develop user and product embeddings, contextual bandits, and personalized ranking algorithms.
• Work with a modern cloud-native data platform to deploy models to millions of customers.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions with a focus on solving problems and changing lives. With over 15 million customers and a culture of innovation, Monzo prioritizes diversity and inclusion.

• Build and deploy machine learning models to detect and respond to fraud across the platform.
• Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
• Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.

Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.

• Lead a high-calibre ML team to shape Borrowing's ML roadmap across UK growth, new customer segments, and EU expansion.
• Improve underwriting, pricing, limits, and lifecycle decisioning through faster model iteration and new data sources.
• Partner with leaders across Credit Strategy, Product, Engineering, and Data to drive commercial impact and long-term strategic advantage.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions. As a rapidly growing fintech with a strong UK presence, we foster an inclusive culture focused on innovation and customer delight.

• Use SQL and other analytical tools to conduct in-depth analysis of customers, transactions, alerts, and risk ratings.
• Develop, tune, and maintain transaction monitoring and sanctions screening models to improve detection and reduce false positives.
• Partner with compliance, product, and data leaders to translate regulatory requirements into effective analytical frameworks.

Mercury is building a complete finance stack for startups, providing banking services through partner banks. As a fintech company, they focus on creating a safe and easy banking experience while protecting against bad actors, with a culture of high agency and adaptability.

• Lead the ML strategy for Workforce Management, delivering production systems for forecasting, routing, and optimisation.
• Coach and develop a growing team of Machine Learning Scientists embedded in product squads.
• Work cross-functionally with Product, Engineering, Data, and Operations leaders to solve ambiguous operational problems.

Monzo is a digital bank on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pension consolidation. With over 10 years of growth in the UK and a focus on financial education and award-winning customer service, Monzo has a vibrant culture and a strong commitment to diversity and inclusion.

• Define the technical strategy and roadmap for credit risk and fraud detection using statistical and ML approaches.
• Design, build, and deploy production-quality machine learning models for credit scoring, fraud detection, and risk modeling.
• Collaborate closely with Engineering, Product, Risk, and Operations teams to align data science strategy with business goals.

Djamo builds the future of banking in Africa with a super-app that combines payments, transfers, savings, and budgeting. Launched in 2020, the company serves over one million users and is backed by investors like Y Combinator and Partech, fostering a culture of innovation and inclusion.

• Serve as the designated Money Laundering Reporting Officer (SMF17) for the UK entity, overseeing the financial crimes compliance program.
• Lead the development of the Financial Crime Compliance Monitoring Programme and business-wide compliance risk assessment.
• Partner with UK Compliance and global Financial Crimes leaders to maintain a clear and effective control environment across onboarding, transaction monitoring, and investigations.

Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later without hidden fees or compounding interest. It is a remote-first company with competitive benefits including full health coverage and stipends.

• Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
• Design features, build tools, and deploy models in production environments to improve performance and stability.
• Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.

Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.

• Conduct complex financial crime investigations, including Enhanced Due Diligence (EDD) and Suspicious Activity Report (SAR) writing.
• Maintain a regular schedule of core investigative tasks to sustain competency and meet service level agreements.
• Coach team members on financial crime typologies and collaborate with operations analysts to improve processes.

Monzo is a digital bank on a mission to make money work for everyone, offering personal and business banking, credit cards, and investment products. With a diverse culture and a rapidly growing team, Monzo focuses on solving customer problems and changing lives.

• Set the technical strategy for your team, tying together critical projects across repayment, collections, recovery, and loss mitigation.
• Act as a force-multiplier by defining and advocating technical solutions and operational processes.
• Collaborate with product management, design, analytics, and risk to ensure technical sustainability and manage trade-offs.

Affirm is reinventing credit to make it more honest and friendly, giving consumers flexibility to buy now and pay later without hidden fees. The company is remote-first with a focus on people-first culture and offers competitive benefits.

• Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
• Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
• Research and develop new methods and tools to improve the business and present results to leadership.

Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.