Senior Credit Risk Modeler – Hybrid/Remote

M&T Bank; Buffalo (NY); Hybrid; USD 124,000 - 206,000; Full time

Job summary

M&T Bank is seeking a Senior Treasury Quantitative Risk Specialist to advance credit, interest rate and liquidity risk models. You will lead data-driven research, build and validate models, and communicate results to senior management.

You will mentor analysts, collaborate with cross-functional partners, and ensure documentation and adherence to risk controls. This hybrid role requires in-office presence about three days weekly, with potential for remote US work.

Qualifications

• Bachelor’s degree and at least 6 years of quantitative behavioral modeling experience.
• Experience with SAS, Python, Stata, and R.
• Experience with SQL Server Management Studio and large data sets.

Responsibilities

• Lead research and development for data related to customers, portfolios and products; interpret results and present to senior management.
• Support end-to-end model development and implementation for behavioral models in risk management.
• Explain model benefits and limitations to executives and stakeholders.

Skills

Quantitative modeling

SAS

Python

Data analysis

Leadership

Education

Bachelor's degree + 6 years quantitative modeling

Master's degree or PhD in statistics/economics/finance

FRM or CFA designation

Tools

SQL Server Management Studio

Stata

R

Job description

M&T Bank is seeking a Senior Treasury Quantitative Risk Specialist to advance credit, interest rate and liquidity risk models. You will lead data-driven research, build and validate models, and communicate results to senior management.

You will mentor analysts, collaborate with cross-functional partners, and ensure documentation and adherence to risk controls. This hybrid role requires in-office presence about three days weekly, with potential for remote US work.