(Senior) Product Manager - Financial Crime (Name & Payment Screening)

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.(Senior) Product Manager - Financial Crime (Name & Payment Screening) Product - FinCrime Ebury London Office - Hybrid: 4 days in the office, 1 day working from home per week About the role At Ebury, screening is a core control that enables safe, scalable access to global financial services. As we expand across new products, verticals, and payment rails, we are evolving our name screening and payment screening capabilities to be more automated, intelligent, and precise. We are looking for a Product Manager / Senior Product Manager to join our Financial Crime Intelligence Product domain, owning Name Screening and Payment Screening across customers, counterparties, and transactions as a domain lead.You will own the Screening product area, working at the intersection of First Line, Compliance, Engineering and Data. Your focus will be on vendor integrations, list / matching logic / fuzziness optimisations and AI-driven false-positive reduction considering different product and business vertical compliance frameworks. This role reports to the Head of Financial Crime Intelligence Product. What You’ll Do Product Ownership Own the Name Screening & Payment Screening product area across customer onboarding, ongoing monitoring and transactions for clients and counterparties. Define the strategy for your area, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction. Translate these into a clear, actionable roadmap across:- fiat to fiat transactions- fiat to crypto transactions (mainly stablecoins)- crypto to crypto transactions- card spends Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression and de-duplication strategies. Stakeholder management Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production). Support regulatory reviews and audits with strong product narratives. Delivery & execution Translate regulatory and risk requirements into clear product req...