Senior Data Scientist - Compliance
MercuryFull Time
Senior (5 to 8 years)
Candidates should possess 7+ years of experience in data analysis or data engineering, with at least 5+ years in compliance, regulatory reporting, or audit-facing roles. Strong SQL and Python skills are required, along with hands-on experience using tools like Airflow, AWS, Kubernetes, and modern data stacks. Familiarity with data governance platforms, blockchain monitoring tools, and name screening systems like RDC or Hummingbird is also necessary.
As a Senior Data Analyst, the individual will own end-to-end Compliance data management, including building and maintaining datasets, pipelines, dashboards, and reporting processes. They will translate regulatory and business requests into accurate, audit-ready reports and automated data pipelines using Python, SQL, and Airflow. The role involves developing dashboards and visualizations using tools like SuperSet, QuickSight, and Hex to communicate key Compliance metrics and client insights, automating tactical compliance solutions, governance controls, and data remediations, and collaborating with cross-functional teams including Compliance, Product, Engineering, and Risk to meet audit, regulatory, and operational requirements. Additionally, the role requires ensuring data quality and consistency across all compliance reporting and client data touchpoints, promoting a self-serve analytics culture by developing reusable assets and well-documented data layers, and mentoring junior analysts while contributing to a strong, security-conscious data culture within the Compliance org.
Cryptocurrency exchange for buying and trading
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