Hybrid Credit Risk Modeler II — Quant Analytics
Listed on 2026-10-06
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Finance & Banking
Data Scientist, Banking Analyst -
IT/Tech
Data Scientist, Data Analyst
M&T Bank Corporation is seeking an experienced analyst to develop and analyze quantitative behavioral models for credit, interest rate and liquidity risk. You will work with large datasets, perform econometric analyses, and communicate findings to Treasury, Risk Management and business lines.
The role requires strong programming in SAS, Python, R, or Stata, and proficiency with SQL Server Management Studio to support model development, validation, and performance monitoring.
Consider building your career as a Hybrid Credit Risk Modeler II — Quant Analytics at M&T Bank Corporation.
The following role is for a Hybrid Credit Risk Modeler II — Quant Analytics with M&T Bank Corporation.
Our organisation is growing, and we are hiring a Hybrid Credit Risk Modeler II — Quant Analytics in Bridgeport, CT, United States.
This role is for the Hybrid Credit Risk Modeler II — Quant Analytics role at M&T Bank Corporation.
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