Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio

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

Salary: $71,600.00–$119,300.00 annual, USD

Company

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

What you will do

• Research and develop quantitative behavioral models for credit risk, interest rate risk, liquidity risk, balance sheet management, and capital planning.
• Prepare, manage, and analyze large loan, deposit, and financial datasets using SQL or similar tools.
• Build and estimate econometric models, including time-series, logistic, and linear regression models, using Python and statistical software.
• Execute models in production and communicate analytical results through clear narratives, charts, and tables.
• Monitor portfolio, model, campaign, and risk strategy performance; investigate forecast deviations and identify risks or opportunities.
• Maintain model documentation and support model validation, regulatory compliance, and cross-bank financial analysis.

Requirements

• Bachelor’s degree and at least one year of quantitative behavioral modeling experience, or an equivalent combination of higher education and work experience.
• At least one year of experience with statistical software such as SAS, Python, Stata, or R; strong Python skills are required.
• Experience with model development, including 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 explaining findings through concise written and verbal communication, charts, and graphs.
• Ability to work in the required hybrid arrangement at an M&T office in one of the listed U.S. locations.

Nice to have

• Master’s or doctoral degree in Statistics, Economics, Finance, or a related quantitative field.
• Credit risk or consumer portfolio model development experience.
• Advanced econometric techniques, including time-series analysis, panel data methods, and logistic regression.
• Experience with balance sheet management, bank financial instruments, model risk management, or model validation.
• Demonstrated leadership skills and the ability to work autonomously and collaboratively.

Culture & Benefits

• Work with colleagues across Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management, Treasury, and business lines.
• Contribute to risk and regulatory controls aligned with the company’s risk appetite.
• Support an environment that promotes belonging and reflects the M&T Bank brand.
• Maintain internal control standards and address audit or regulatory issues.