Credit Risk Modeling Analyst II — Hybrid/Remote

M&T Bank; Buffalo (NY); Hybrid; USD 71,600 - 119,300; Full time

Job summary

M&T Bank in Buffalo, NY seeks an experienced quantitative analyst to develop and enhance behavioral models for credit risk, interest rate risk, liquidity risk, and capital planning. You will work with SQL data, run regressions, and produce clear narratives and visuals in collaboration with Treasury and Risk Management.

Requires a Bachelor’s in a quantitative field and strong Python, SAS, Stata, or R skills; SQL experience is essential.

Qualifications

• Bachelor’s degree or higher in a quantitative field with 1+ years in quantitative behavioral modeling or equivalent.
• Strong programming and data analysis skills in Python; experience with SAS, Stata, or R.

Responsibilities

• Develop and analyze quantitative behavioral models for credit risk, interest rate risk, and liquidity risk.
• Prepare large financial datasets for econometric modeling using SQL or similar tools.
• Run regressions and time-series analyses; communicate results with visuals to stakeholders.

Skills

Python

SAS

Stata

R

SQL

Education

Bachelor's degree in a quantitative field

Master's or Doctorate in Statistics/Economics/Finance or related field

Tools

SQL Server Management Studio

Job description

M&T Bank in Buffalo, NY seeks an experienced quantitative analyst to develop and enhance behavioral models for credit risk, interest rate risk, liquidity risk, and capital planning. You will work with SQL data, run regressions, and produce clear narratives and visuals in collaboration with Treasury and Risk Management.

Requires a Bachelor’s in a quantitative field and strong Python, SAS, Stata, or R skills; SQL experience is essential.