Senior Product Manager (Identity & Risk Intelligence)

Join Adyen, a leading global payment company, as a Senior Product Manager in Identity & Risk Intelligence. In this role, you will lead the development and scaling of Machine Learning models and risk signals to detect financial crimes. You will also drive the execution of the financial crime detection strategy, partner with Compliance, and lead a cross-functional team of Data Scientists, Data Analysts, and Backend Engineers. This position offers a range of benefits, including a global exchange program, weekly happy hour, healthy lunches, a phantom share package, a yearly trip to Amsterdam, paid holidays, and work-from-home opportunities.

• Lead the development and scaling of Machine Learning models and risk signals for financial crime detection.
• Drive the transition towards a self-service framework for financial crime detection, utilizing ML and GenAI.
• Own the execution of the financial crime detection strategy, prioritizing initiatives based on data-driven trade-offs.

• ML Product Expertise: 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
• Regulated Environment: Experience building products in highly regulated environments such as payments, banking or fintech, with a solid understanding of how regulation shapes product decisions
• Decision-Making: Clear, data-driven trade-offs and the confidence to say no. Comfortable owning outcomes without a single clean success metric
• Stakeholder Management: Strong influence with senior and opinionated stakeholders, especially Compliance, Legal and Risk. Able to hold a position, explain the reasoning and keep their trust
• Ownership: Highly autonomous and accountable, able to take an agreed strategy and drive it through execution
• Experience: 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