Adyen

Product manager in identity and risk intelligence

In short

Senior Product Manager role leading Adyen's Anti-Money Laundering (AML) detection product within Identity & Risk Intelligence, owning ML-driven detection models, rules and risk signals across products and markets. The role requires deep collaboration with Compliance, Legal and Risk stakeholders and leading a team of Data Scientists, Data Analysts and Backend Engineers. Requires 8+ years of Product Management experience with ML-driven products and 2+ years in AML, fraud detection or financial crime, based onsite in Amsterdam.

About the role
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. We are seeking a Senior Product Manager to lead our Anti-Money Laundering (AML) detection product within Identity & Risk Intelligence. Financial crime keeps getting more complex, and as Adyen expands into new products and markets, our detection needs to scale with it - without becoming a bottleneck for growth.
Responsibilities
•Lead the build and scaling of Machine Learning models, rules and risk signals that detect financial crimes across Adyen's products, markets and customer base.
•Move financial crime detection toward a self-service framework that picks up new typologies quickly, using ML, GenAI and agentic approaches to reduce manual effort and keep pace with Adyen's growth without adding headcount.
•Own the execution of the financial crime detection strategy. Prioritize ruthlessly, make data-driven trade-offs, and stop or descope work when the evidence shows it is not worth pursuing.
•Act as the main product partner for Compliance. Translate regulatory expectations into clear product boundaries, agree how the team delivers within them, and demonstrate continuous improvement to regulators.
•Define how detection quality and efficiency are measured in a domain where the ground truth is often unknown, and continuously improve signal quality for our Investigations team.
•Lead a team of Data Scientists, Data Analysts and Backend Engineers alongside your engineering lead, and keep Compliance, Operations, and other risk teams aligned on the roadmap.
Requirements
•8+ years of Product Management experience building ML-driven, high-scale products in fast-growing tech or fintech environments.
•2+ years of experience in AML, fraud detection or financial crime.
•Proven track record of owning and scaling ML-driven products such as detection, scoring or risk models.
•Comfortable going deep with Data Scientists on model performance, evaluation and trade-offs.
•Experience building products in highly regulated environments such as payments, banking or fintech, with a solid understanding of how regulation shapes product decisions.
•Strong influence with senior and opinionated stakeholders, especially Compliance, Legal and Risk. Able to hold a position, explain the reasoning and keep their trust.
•Clear, data-driven trade-offs and the confidence to say no.
•Comfortable owning outcomes without a single clean success metric.
•Highly autonomous and accountable, able to take an agreed strategy and drive it through execution.
Conditions
No conditions stated in the posting.

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