Credit Model Development Quantitative Analyst II (Credit Risk)

Location: Hybrid, requiring in-office work four days per week in Buffalo, NY; Bridgeport, CT; Wilmington, DE; Baltimore, MD; Washington, DC; or New York, NY. A remote arrangement may be possible for candidates who are not near these locations.

Salary: $87,200–$145,400 annual USD

Company

M&T Bank develops and manages banking, credit risk, interest rate risk, liquidity risk, and capital planning models.

What you will do

• Research and develop quantitative behavioral models for credit, interest rate, liquidity, stressed capital, and balance sheet risk management.
• Prepare and analyze large loan, deposit, customer, and financial datasets using SQL and statistical tools.
• Run time-series, logistic, and other regression analyses; communicate findings through clear narratives, charts, and tables.
• Execute models in production and monitor portfolio, model, campaign, and risk strategy performance.
• Maintain model documentation, performance monitoring guidelines, and analysis supporting model validation.
• Collaborate with Credit Risk Management, Treasury, Asset Liability and Liquidity Management, Model Risk Management, business lines, and other bank stakeholders.

Requirements

• Bachelor’s degree and at least one year of quantitative behavioral modeling experience, or an equivalent combination of education and experience.
• At least one year of experience with SAS, Python, Stata, or R and with a data management environment such as SQL Server Management Studio.
• At least one year of experience managing and analyzing large datasets and communicating results through written and verbal explanations and visualizations.
• Fluency in econometric and statistical techniques, including time-series analysis, panel data methods, and logistic regression.
• Ability to analyze complex business, data, and statistical problems and communicate precise recommendations.
• Ability to work autonomously and collaboratively while supporting regulatory, model risk, and internal control standards.

Nice to have

• Master’s or Doctorate in Statistics, Economics, Finance, or a related quantitative field.
• Financial Risk Manager or Chartered Financial Analyst designation.
• Experience with balance sheet management, mathematical modeling of financial instruments, model validation, and SR-11-7 guidance.
• Demonstrated leadership skills and at least two years of statistical analysis programming experience.

Culture & Benefits

• Hybrid work arrangement with regular collaboration across Treasury and bank-wide functions.
• Work includes coordination with business lines, Risk Management, Model Risk Management, and related banking groups.
• Environment focused on belonging, regulatory discipline, internal controls, and risk-aware decision-making.