Senior Data Scientist, Compliance Technology

Model Development:

Design, test, and validate rule-based and machine learning models for various compliance functions.

Develop new detection typologies and translate FCC risk scenarios into effective models.

Leverage anomaly detection, clustering, and graph analytics to identify emerging financial crime patterns.

Data Engineering & Pipeline Optimization:

Build and optimize scalable data pipelines integrating blockchain analytics and third-party intelligence.

Lead remediation of data quality gaps through data audits and root cause analysis.

Deploy containerized data science workflows for seamless integration into production environments.

Collaboration & Communication:

Partner with Product, Engineering, and Compliance teams to enhance data architecture.

Communicate complex findings to technical and non-technical stakeholders.

Contribute to reusable data science tools and libraries.