Quantitative Model Development Analyst, Credit Modeling

What you'll do

• Develop and implement expected loss forecasting models for Commercial Real Estate and Small Business portfolios.
• Ensure all credit risk models comply with CECL, CCAR, and other regulatory requirements.
• Maintain consistency with bank risk management policies through collaboration with internal audit and reporting teams.
• Communicate statistical model functions and predictions to stakeholders to demonstrate effective risk management.
• Perform ongoing model performance monitoring, including backtesting reviews and investigations of unexpected results.
• Manage wholesale data development and maintenance for credit risk modeling.
• Produce comprehensive written technical documentation and oral presentations regarding model performance.
• Utilize Python, SAS, and Git for programming, code management, and version control.

What we're looking for

• Bachelor's degree in a quantitative field and five or more years of relevant experience.
• MA/MS in a quantitative field and three or more years of related experience.
• PhD in a quantitative field and less than two years of related experience.
• Proficiency in programming languages such as Python and SAS (preferred).
• Experience building credit models for commercial exposures (preferred).
• Knowledge of banking regulation, stress testing, and credit reserves (preferred).
• Experience with model performance monitoring, internal validation, and risk management (preferred).
• Experience with code management and version control using Git (preferred).