- Lead the design, testing, and deployment of ML models for credit decisioning, fraud detection, and risk segmentation.
- Develop underwriting algorithms using alternative data sources to expand financial access.
- Develop and manage credit risk frameworks, policies, and approval strategies adapted to each market.
- Set risk thresholds and customer segmentation strategies balancing growth, default rates, and portfolio health.
- Build, lead, and mentor a team of data scientists and risk analysts while remaining hands-on with technical work.
- Communicate model performance, portfolio trends, and strategic recommendations to the executive team and board.
- Partner with engineering, product, and finance to translate analytical insights into business outcomes.
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