Credit Risk Model Development Quantitative Analyst II (Consumer Portfolio)

Location: Hybrid position requiring in-office work four days per week at an M&T office in Buffalo, NY; Bridgeport, CT; Wilmington, DE; Baltimore, MD; Washington, DC; or potentially New York, NY. A remote arrangement may be possible for a final candidate who is not near these locations.

Salary: $71,600–$119,300 annual, USD.

Company

M&T Bank provides banking and financial services with a focus on risk management, capital planning, and regulatory compliance.

What you will do

• Research, develop, implement, and maintain quantitative behavioral models for credit risk, interest rate risk, liquidity risk, balance sheet management, and capital planning.
• Prepare and analyze large loan, deposit, and financial datasets using SQL and statistical programming tools.
• Run time-series, logistic, linear, and other econometric analyses and communicate findings through narratives, charts, and tables.
• Execute models in production, monitor portfolio and model performance, identify forecast deviations, and improve predictive results.
• Create model documentation, performance-monitoring guidelines, and analytical support for model validation and audit activities.
• Collaborate with Credit Risk Management, Treasury, Asset Liability and Liquidity Management, Model Risk Management, business lines, and other Bank stakeholders.

Requirements

• Bachelor’s degree plus at least one year of quantitative behavioral modeling experience, or an equivalent combination of education and experience.
• At least one year of experience with statistical software such as SAS, Python, Stata, or R, with strong Python skills required.
• Experience developing models using logistic and linear regression.
• At least one year of experience with data management environments such as SQL Server Management Studio.
• Experience analyzing large datasets and clearly explaining results through written communication, verbal presentations, and visualizations.
• Ability to work in the required hybrid arrangement with four days per week in an approved U.S. office location.

Nice to have

• Master’s or doctoral degree in statistics, economics, finance, or a related quantitative discipline.
• Credit risk or consumer portfolio model development experience.
• Advanced econometric skills, including time-series analysis, panel data methods, and logistic regression.
• Experience with balance sheet management, bank financial instrument valuation, model risk management, or SR 11-7 guidance.
• Demonstrated leadership, autonomy, collaboration, and willingness to learn.

Culture & Benefits

• Work with stakeholders across Treasury, Risk Management, business lines, and related Bank functions.
• Operate within established risk appetite, internal control, audit, and regulatory standards.
• Support an environment that promotes belonging and reflects the M&T Bank brand.