Lead the CCOR Financial Crime Data Science team

This role leads the CCOR Financial Crime Data Science team in designing and deploying production-grade machine learning solutions for AML transaction monitoring, focusing on risk mitigation and regulatory alignment. The position involves driving innovation in advanced analytics, managing the end-to-end model lifecycle, and building robust MLOps pipelines to enhance investigator productivity. The leader will partner with cross-functional teams to translate regulatory expectations into defensible ML controls while mentoring a high-performing team of data scientists and engineers.