Credit Risk Modeling Analyst II - Hybrid Role

Wilmington Trust; Washington (District of Columbia); Hybrid; USD 71,600 - 119,300; Full time

Job summary

M&T Bank in Buffalo, NY is seeking an experienced quantitative analyst to develop and analyze behavioral models for credit risk, interest rate risk, and liquidity risk management. You will support model development, validation coordination, and reporting to Treasury and stakeholders.

The role requires strong Python skills, experience with SAS/Python/R/Stata, and the ability to communicate technical results clearly.

Qualifications

• Bachelor’s degree and at least 1 year of quantitative modeling experience or 5 years of related work.
• Minimum 1 year with SAS, Python, Stata, or R.
• Strong Python skills and model development experience.
• Experience with logistic and linear regression and data management tools.

Responsibilities

• Assist in researching and developing quantitative behavioral models for risk management.
• Prepare and analyze large loan, deposit, and financial data sets for econometric modeling.
• Run regressions and econometric analyses; communicate results to team and stakeholders.
• Execute models in production and monitor performance; maintain documentation.

Skills

Python

Statistics

Data analysis

Communication

Education

Bachelor's degree or equivalent

Tools

SAS

Python

Stata

R

SQL

Job description

M&T Bank in Buffalo, NY is seeking an experienced quantitative analyst to develop and analyze behavioral models for credit risk, interest rate risk, and liquidity risk management. You will support model development, validation coordination, and reporting to Treasury and stakeholders.

The role requires strong Python skills, experience with SAS/Python/R/Stata, and the ability to communicate technical results clearly.