Senior Product Manager - Financial Crime (Fraud Prevention)

15h15 hours ago

Ebury

London, GB · Full-time · £95,000 – £125,000

About this role

Ebury helps ambitious businesses unlock global growth. We are seeking a Senior Product Manager to lead fraud prevention within the Financial Crime domain. The role focuses on developing and executing a product strategy that combats evolving threats across financial products and jurisdictions.

Day-to-day work involves researching emerging fraud trends and attacker methodologies. You will own controls for transactional fraud, document fraud and behavioural anomalies while balancing growth versus risk trade-offs across fiat, stablecoin and card journeys.

You will partner closely with Operations, Compliance, Engineering, Data Science and Security teams. Collaboration includes defining model inputs and thresholds for predictive fraud systems and addressing account compromise signals in a hybrid London office.

This position reports to the Head of Financial Crime Intelligence Product. It offers the chance to shape security posture and drive innovation at the forefront of fraud prevention across new payment rails and verticals.

Requirements

Experience owning fraud controls for transactional, document and behavioural fraud in financial services.
Strong understanding of how predictive models behave in production environments.
Knowledge of fraud patterns across fiat-to-fiat, fiat-to-crypto and crypto-to-crypto transactions.
Ability to balance growth versus risk trade-offs when designing security features.
Experience defining step-up, blocking and friction strategies based on risk signals.
Familiarity with real-time fraud controls and vendor integrations in payments or cards.

Responsibilities

Conduct in-depth research and analysis of emerging fraud trends, attacker methodologies and industry best practices in B2B and B2C fraud prevention.
Formulate and drive a fraud-focused product strategy aligned with Financial Crime Intelligence goals.
Own fraud controls across transactional fraud, document fraud and behavioural anomalies.
Detect abnormal user behaviour across onboarding, authentication and payment journeys.
Partner with Data Science teams on predictive AI models, including model inputs, outputs and thresholds.
Collaborate with Security teams on account compromise, abuse patterns and attacker tooling signals.
Design real-time and pre-authorisation fraud controls to prevent losses before execution.
Translate regulatory and risk requirements into clear product requirements for fiat, stablecoin and card transactions.

Benefits

Hybrid working model with one day working from home per week
Opportunity to make significant impact on company security posture
Work at the forefront of fraud prevention across new payment rails and verticals