Data Specialist for Compliance — Transaction Monitoring & Financial Crime

Own the end-to-end analytical lifecycle of rule-based transaction monitoring systems, from data pulling and exploration in Databricks to proposing rule and threshold changes. Maintain and refine the false negative methodology to identify missing monitoring. Act as the technical liaison with data scientists for ML-driven detection, gathering requirements and validating models.

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a correlated field. 5+ years of experience in data analytics, risk, or fraud/financial crime analytics, ideally in financial services or fintech. Strong SQL and Python skills, with a solid understanding of the end-to-end data lifecycle.