Senior Product Manager Identity and Risk Intelligence

Adyen is a Dutch financial technology company providing global payment acceptance.

57 current maintainers51 active leads10 new active leads8 lead step-downs
Amsterdam, Netherlands
About Adyen

Adyen N.V. operates a unified financial technology platform for businesses. Its services cover online, in-person, and in-app payments; acquiring; payment methods; risk and authentication; platforms and marketplaces; payouts; card issuing; business accounts; capital; and liquidity management.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the anti-money-laundering detection product, translating strategy into execution and making data-driven prioritization decisions. You will partner with Compliance to turn regulatory expectations into product boundaries, define measures for detection quality and efficiency, and continuously improve risk signals. You will guide Data Scientists, Data Analysts, and Backend Engineers while aligning operations and risk stakeholders on the roadmap.

Requirements

  • 8+ years of product management experience building ML-driven, high-scale products in a fast-growing technology or fintech environment
  • 2+ years of experience in AML, fraud detection, or financial crime
  • Experience owning and scaling ML-driven detection, scoring, or risk-model products
  • Ability to evaluate model performance and trade-offs with Data Scientists
  • Experience building products in regulated payments, banking, or fintech environments
  • Stakeholder-management experience with Compliance, Legal, and Risk
  • Data-driven decision-making and prioritization skills
  • Ability to independently execute an agreed strategy

Responsibilities

  • Lead the development and scaling of machine-learning models, rules, and risk signals that detect financial crime
  • Move financial-crime detection toward a self-service framework using machine learning, generative AI, and agentic approaches
  • Execute the financial-crime detection strategy and make data-driven prioritization trade-offs
  • Partner with Compliance to translate regulatory expectations into product boundaries
  • Define and improve measures of detection quality and efficiency
  • Lead Data Scientists, Data Analysts, and Backend Engineers alongside the engineering lead
  • Align Compliance, Operations, and risk teams on the roadmap