Vice President, Data Science
Core
Lead the design, development, and operation of high-rigor analytical and machine-learning systems for anomaly detection, variance analysis, drift detection, forecasting, and prediction within a regulated financial-services estate.
Role type
VP, Data Science (Strategy-led, hands-on IC)
Builds
Production-grade AI/ML models and systems for Enterprise Solutions
Domain
Financial Services / Capital Markets / Regulated Data
Deliverable
production ML models
Required skills
Applied data science, machine learning, time-series analysis, predictive modelling, full model lifecycle ownership, production ML system design, explainable AI, statistical modelling, data quality management, anomaly detection
Preferred skills
Experience in banking or capital markets, mentoring technical teams, collaborating with engineering and platform teams
Technologies
None explicitly listed
Responsibilities
Define AI/ML roadmap, build high-rigor models for anomaly detection and forecasting, manage full model lifecycle from definition to production operation, ensure model explainability and reliability in regulated environments, troubleshoot model degradation, combine statistical models with ML and rules-based logic
Seniority
VP, Strategy & Hands-on IC
