As a Quantitative Model Analyst, you will lead the development and implementation of expected loss forecasting models for Commercial Real Estate (CRE), Commercial Industrial (C&I), or Small Business portfolios, ensuring compliance with CECL, CCAR, and other regulatory requirements.
Requirements
- Master's Degree or PhD in a quantitative field such as computer science, data science, mathematics, or statistics
- 8 or more years of experience in credit risk modeling and industry-standard approaches (e.g. PD, LGD, EAD)
- Deep understanding of banking, financial metrics, and credit risk management
- Knowledge of banking regulation and requirements for stress testing and credit reserves
- Programming experience in Python (preferred) or similar statistical software (e.g. R, SAS)
- Experience with cloud-based tools and infrastructure (Azure or others)
- Strong analytical and problem-solving skills, coupled with thoroughness and attention to detail
- Effective interpersonal, verbal, and written communication skills
- Ability to prioritize work, meet deadlines, and work under pressure and independently while balancing multiple priorities in a dynamic and complex environment
Benefits
- Market-competitive compensation package
- Performance-based incentives
- Inclusive equitable benefits
- Continuous development opportunities
- Employee recognition programs