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Head of Engineering - Risk & Financial Crime

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Adyen

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Location:
Netherlands , Amsterdam

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Adyen is building out its capabilities in data-driven risk management to combat financial crime across its platform. We operate at a massive global scale, enabling businesses around the world to accept payments, issue cards, and embed financial products, helping millions of business owners around the globe do business with less friction. While we have foundational elements in place, we have recently shifted our strategy to take a more holistic approach to proactively detect and mitigate financial crime.

Job Responsibility:

  • Lead and mentor multiple multidisciplinary Engineering Teams in Amsterdam focused on data-driven risk and financial crime products
  • Drive the technical strategy and execution for building scalable and resilient systems for financial crime detection and mitigation, covering the entire business lifecycle on the platform
  • Oversee the development and deployment of machine learning models and data pipelines for real-time and batch risk assessment
  • Explore and implement applications of cutting-edge AI technologies, including GenAI and LLMs, to automate manual investigation tasks, improve detection accuracy, and provide rich context for human reviewers and models
  • Collaborate closely with expert investigators and operations teams to understand their workflows, integrate human feedback into automated systems, and ensure tools meet their needs
  • Partner with Product Managers, Data Scientists, and other Engineering Teams globally to define product requirements, prioritize initiatives, and integrate risk capabilities into Adyen's platform
  • Ensure systems are built with robust monitoring, explainability, and governance frameworks to meet regulatory requirements and maintain high quality and fairness
  • Stay informed about the latest advancements in financial crime typologies, risk management techniques, and AI/ML technologies, applying relevant insights to Adyen's products

Requirements:

  • Proven experience leading and mentoring multiple and multi-disciplinary Engineering Teams
  • Significant experience in building and deploying data-driven products and systems at scale, ideally in a domain involving Risk, Fraud, or Financial Crime
  • Deep understanding of the machine learning lifecycle, from data ingestion and feature engineering to model training, deployment, monitoring, and experimentation
  • Strong technical background with experience in data processing, distributed systems, and relevant programming languages (e.g., Java, Python)
  • Familiarity with applying advanced AI techniques, such as Generative AI and Large Language Models, to solve real-world problems, particularly in automating complex workflows or analyzing unstructured data
  • Experience working closely with non-technical stakeholders, such as Operations Teams, Legal/Compliance experts, and Product Managers
  • Excellent communication skills with the ability to articulate complex technical concepts and strategies to diverse audiences
  • Ability to balance short-term needs with a long-term strategic vision
  • Experience in hiring and developing technical talent

Additional Information:

Job Posted:
March 19, 2026

Work Type:
On-site work
Job Link Share:

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