Head of Compliance, Data Science

The Company is seeking a Head of Compliance, Data Science to set and deliver the strategy for data science initiatives supporting compliance. The role leads the design, deployment, and ongoing improvement of scalable machine learning systems for anti-money laundering, sanctions and watchlist screening, suspicious activity detection, and compliance risk modeling. Responsibilities include setting technical roadmaps and architecture standards, improving model performance and explainability, and ensuring solutions support regulatory and operational needs. The successful candidate will lead and develop a data science team, collaborate across technical and compliance functions, and communicate priorities, risks, and outcomes to senior stakeholders. Candidates should hold a bachelor’s or advanced degree in data science, computer science, statistics, mathematics, engineering, or a related technical field, and bring significant data science or machine learning experience, including technical leadership. Strong expertise in compliance, sanctions and watchlist screening, AML analytics, and financial crime risk management is required, along with a record of delivering production-scale machine learning systems and leading teams. Candidates should understand model architecture, deployment, monitoring, validation, governance, explainability, and large-scale data practices. Strategic thinking, sound judgment, strong communication, and the ability to balance innovation with regulatory and operational requirements are essential.