Vice President, Data Science
Leads the design and implementation of high-rigor machine learning and analytical systems across a regulated financial services environment. Focuses on production-grade models for anomaly detection, forecasting, and behavioral signals, ensuring reliability, explainability, and regulatory compliance. Works closely with engineering and product teams to drive models from concept to operation and provides technical leadership in complex, data-intensive scenarios.