Fraud Risk Model Owner

The role leads the end‑to‑end fraud detection function, translating fraud taxonomies into precise detection requirements, calibrating model performance, and ensuring models remain within defined risk appetite as the portfolio scales. It also oversees model governance, monitors drift, and coordinates complex fraud response and mitigation efforts while interfacing with data science, engineering, and regulatory stakeholders.