The opportunity
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. At Adyen, everything we do is engineered for ambition.
What you'll do
Risk Detection & ML Modeling: 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.
Scalable, Self-Service Detection: 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.
Strategy Execution & Prioritization: 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.
Compliance & Regulatory Partnership: 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.
Performance & Effectiveness: 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.
Cross-Functional Leadership: 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.
What they're looking for
- 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.
- 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.
- 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.
