Senior Credit Modeling Expert — Hybrid/Remote

Wilmington Trust; Buffalo (NY); Hybrid; USD 124,000 - 206,000; Full time

Job summary

M&T Bank in Buffalo, NY seeks a Senior TreasuryQuantitative Risk Developer to advance data, models and forecasting across credit, rate risk, liquidity risk and stress testing. You will mentor analysts, lead project teams, and work with executives to translate complex models into actionable insights.

The role emphasizes strong statistical programming (SAS, Python, R) and collaboration across Risk Management functions. Hybrid work arrangement with potential remote US location based on availability.

Qualifications

• Bachelor’s degree and minimum 6 years of quantitative behavioral modeling experience
• Minimum 6 years of experience with SAS, Python, Stata or R
• Minimum 6 years of experience with data management environment such as SQL Server Management Studio
• Experience analyzing large data sets and communicating results clearly
• Credit modeling experience including commercial credit scorecards

Responsibilities

• Lead research and development for data relevant to Bank’s customers and products; present findings to senior management
• Support end-to-end model development and implementation for behavioral models in credit risk, interest rate risk, liquidity risk and stress testing
• Explain model benefits and limitations to executive management and partners
• Develop strategies for pricing, underwriting or funding to maximize profitability
• Maintain model documentation and performance monitoring guidelines
• Provide guidance to less experienced personnel and lead project teams when needed
• Ensure compliance with risk and regulatory standards and internal controls

Skills

Quantitative modeling

SAS

Python

Stata

R

Data analysis

Communication

Education

Bachelor’s degree

Master’s degree preferred

Tools

SQL

SQL Server Management Studio

Excel

Job description

M&T Bank in Buffalo, NY seeks a Senior TreasuryQuantitative Risk Developer to advance data, models and forecasting across credit, rate risk, liquidity risk and stress testing. You will mentor analysts, lead project teams, and work with executives to translate complex models into actionable insights.

The role emphasizes strong statistical programming (SAS, Python, R) and collaboration across Risk Management functions. Hybrid work arrangement with potential remote US location based on availability.