Senior Manager, Data Science (Risk Policy Management)

Responsibilities • Problem Formulation & Business Context: Analyze root causes, question assumptions, and recommend tech-focused approaches. Develop business cases with projected ROI/cost savings, translate domain requirements into projects, and quantify business impact. • Data Source Identification & Strategy: Identify and extract fit-for-purpose data across functional domains and datastores (SQL, NoSQL). Perform data quality checks and apply defined data strategy, governance, and management principles. • Analytical Modeling & Validation: Conduct EDA and select advanced modeling techniques (Bayesian inference, NLP, Vision, Neural Networks, SVM, Random Forest, AutoML) for large-scale structured/unstructured data. Create test-and-learn frameworks and apply testing metrics (ROC, RMSE, Chi-square) to validate