Vice President, Data Science
This role involves leading the design and implementation of high-rigor machine learning and analytical systems within a regulated financial services environment. The individual will define the AI/ML roadmap, develop production-grade models for anomaly detection, forecasting, and behavioral signals, and ensure models are explainable, reliable, and operationally sound. Close collaboration with engineering, data, and product teams is required to take models from concept to production, with ongoing monitoring and performance management.