- Develop credit, pricing, and verification strategies to enhance performance using data, ML/AI, and analytics.
- Present data-driven recommendations to executive leadership and the Credit Risk Committee.
- Serve as a primary contact for investors by translating complex data into clear, compelling narratives.
- Collaborate across Capital Markets, Product, Engineering, Legal, Compliance, Operations, and Marketing.
- Ensure credit losses remain within defined risk appetite through oversight of loss forecasting and stress testing.
- Evaluate and implement new vendors, alternative data sources, and emerging technologies.
- Monitor portfolio performance to identify key drivers and emerging trends.
Artificial IntelligenceMachine LearningData analytics