Credit Model Development Quantitative Expert – Commercial Credit Portfolio (Hybrid)

Location: Hybrid, requiring in-office work three days per week in Bridgeport, CT; Buffalo, NY; Baltimore, MD; New York, NY; Paramus, NJ; Iselin, NJ; Wilmington, DE; or Washington, DC. Potential remote arrangement is available only within the United States if the candidate is not near one of these offices.

Salary: $123,600–$206,000 annual USD

Company

M&T Bank is a financial institution developing and managing banking, credit, risk, and treasury operations.

What you will do

• Lead research and development using customer, portfolio, product, market, economic, demographic, and behavioral data.
• Develop, implement, maintain, and monitor behavioral and commercial credit risk models supporting credit risk, interest rate risk, liquidity risk, stress testing, and economic capital practices.
• Explain model assumptions, limitations, requirements, forecasts, and analytical findings to executive management and internal stakeholders.
• Develop model documentation, process narratives, performance-monitoring guidelines, and recommendations for pricing, underwriting, and funding strategies.
• Lead model validation engagements and collaborate with Credit Risk Management, business units, Model Risk Management, Audit, and Credit Review.
• Mentor less experienced analysts, supervise interns, and lead project-based teams.

Requirements

• Bachelor’s degree and at least 6 years of quantitative behavioral modeling experience, or an equivalent combination of education and experience with at least 6 years of relevant modeling experience.
• At least 6 years of experience with statistical software such as SAS, Python, Stata, or R, and with data-management environments such as SQL Server Management Studio.
• At least 6 years of experience analyzing large datasets and communicating findings through written explanations, presentations, charts, and graphs.
• Commercial credit modeling experience, including credit scorecard development.
• Ability to develop statistical models, solve complex data and business problems, communicate technical findings clearly, and direct the work of others.
• Ability to work from the specified U.S. offices on a hybrid schedule or remotely from within the United States when approved.

Nice to have

• Master’s or doctoral degree in statistics, economics, finance, or a related quantitative discipline.
• Eight or more years of statistical analysis programming experience and strong Python skills.
• FRM or CFA designation.
• Experience with time-series analysis, panel-data methods, logistic regression, balance-sheet management, financial-instrument modeling, model risk management, and SR-11-7 guidance.
• Experience leading and directing less experienced personnel.

Culture & Benefits

• Collaboration with executive management and cross-functional banking, risk, finance, audit, and review teams.
• Opportunities to serve as a bank-wide quantitative risk management expert.
• Work on projects spanning credit risk, treasury, liquidity, interest rate risk, stress testing, and economic capital.
• Market-informed annual compensation range of $123,600–$206,000 USD.