Credit Model Development Expert

M&T Bank

Developing and managing quantitative/econometric behavioral models for credit risk at M&T Bank. Leading teams and providing expert guidance on predictive risk management and analysis.

Posted 7/9/2026full-timeBuffalo • Connecticut, Maryland, New Jersey, New York, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $123,600 - $206,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing quantitative behavioral models for credit risk, interest rate risk, and liquidity risk management, utilizing advanced statistical software and data analysis techniques. Proficient in managing large data sets and effectively communicating analytical results to stakeholders.

Highest-signal resume keywords

Quantitative Behavioral ModelingCredit Model DevelopmentLogistic RegressionLinear RegressionPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative Behavioral ModelingCredit Model DevelopmentLogistic RegressionLinear RegressionStatistical AnalysisData AnalysisEconometric AnalysisSQLData ManagementRegression Analysis

Soft Skills

Verbal CommunicationWritten Communication

Tools & Technologies

Statistical SoftwareSQL Server Management StudioPython

Industry Keywords

Credit Risk ManagementInterest Rate Risk ManagementLiquidity Risk ManagementBalance Sheet PlanningCapital Planning

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Independently develops, implements, maintains, analyzes and manages quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning
Lead research and development of quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management
Prepare, manage and analyze large customer loan, deposit or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool
Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software
Execute models in production environment; communicate analytical results to Bank-wide stakeholders
Track portfolio performance, model performance, campaign tracking and risk strategy results

Requirements

What you’ll need

Bachelor’s degree and a minimum of 6 years’ proven quantitative behavioral modeling experience
Credit model development experience
Logistic Regression AND Linear Regression experience required
Minimum of 6 years’ on-the-job experience with pertinent statistical software packages, including Python experience (mandatory)
Minimum of 6 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
Minimum of 6 years’ on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs

Benefits

Comp & perks

Medical benefits
Retirement plans
Forty hours of paid volunteer time each year