Credit Model Development Quantitative Expert (Quantitative Risk)

Location: Hybrid, with in-office work three days per week in Buffalo, NY, Baltimore, MD, Bridgeport, CT, Wilmington, DE, Iselin, NJ, Washington, DC, New York, NY, or another M&T corporate office. Remote work may be available within the United States if the candidate is not near one of these locations.

Salary: $123,600–$206,000 annual (USD)

Company

M&T Bank is a banking organization focused on credit, treasury, liquidity, financial risk, and capital management.

What you will do

• Lead research, development, implementation, maintenance, and analysis of behavioral models for credit, interest rate, liquidity, balance sheet, and capital risk management.
• Prepare and analyze large loan, deposit, and financial datasets using SQL and statistical programming tools.
• Build econometric models using logistic regression, linear regression, time-series analysis, and other statistical techniques.
• Execute models in production, monitor portfolio and model performance, and improve predictive results using observed data.
• Develop model documentation, performance monitoring guidelines, and materials for validation and audit activities.
• Lead Treasury projects, collaborate with Risk Management and business teams, and present analyses and recommendations to senior stakeholders.

Requirements

• Bachelor’s degree and at least six years of quantitative behavioral modeling experience, or an equivalent combination of education and work experience.
• Credit model development experience is required.
• Experience with logistic regression and linear regression is required.
• At least six years of experience with Python, statistical software, SQL Server Management Studio, or similar data management environments.
• Experience analyzing large datasets and communicating findings through clear written explanations, presentations, charts, and graphs.
• Ability to work autonomously, collaborate across risk and treasury functions, and guide less experienced personnel.

Nice to have

• Master’s or doctorate in statistics, economics, finance, or a related quantitative field.
• Eight or more years of statistical analysis programming experience.
• FRM or CFA designation.
• Experience with panel data methods, balance sheet management, financial instrument modeling, model risk management, or SR-11-7 validation guidance.

Culture & Benefits

• Work within a bank-wide quantitative risk management function supporting Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, Treasury, and business lines.
• Opportunity to mentor analysts and lead project teams.
• Work arrangement combines regular office collaboration with a potential U.S.-based remote option.
• Compensation is market-informed and based on the candidate’s knowledge, skills, and experience.