Credit Model Development Quantitative Analyst Ii - Small Business And Home Secured (hybrid - See Potential Locations In Job Description)

MTB (M&T Bank)

Buffalo, New York, United States of America
Base: $71,600.00 - $119,300.00 annual (usd); bonus...
Hybrid (4 days in-office, potential for remote arrangement)
Strong python programming skills required
Experience with logistic and linear regression
Proficiency in sql server management studio
M&T Bank is seeking a mid-level Credit Model Development Quantitative Analyst to support the development and monitoring of credit risk models, primarily for small business and home-secured lending. This hybrid position requires strong quantitative skills, proficiency in Python and SQL, and involves collaboration across various teams to ensure model effectiveness and compliance with regulatory standards

Job Summary

  • This hybrid role requires four days of in-office work per week at one of several specified locations including Buffalo, NY or Washington, DC.
  • The position focuses on developing and monitoring credit risk models for loss forecasting and default probability estimation across lending portfolios.
  • Candidates must possess strong quantitative skills to perform data preparation, exploratory analysis, and model estimation using Python and SQL.

Matching Summary

Match Score: 85

M&T Bank is seeking a mid-level Credit Model Development Quantitative Analyst to support the development and monitoring of credit risk models, primarily for small business and home-secured lending. This hybrid position requires strong quantitative skills, proficiency in Python and SQL, and involves collaboration across various teams to ensure model effectiveness and compliance with regulatory standards.

Salary

Base: $71,600.00 - $119,300.00 Annual (USD); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Strong Python programming skills required
  • Experience with logistic and linear regression
  • Proficiency in SQL Server Management Studio
  • One year quantitative behavioral modeling experience
  • Ability to analyze large-scale loan datasets

Nice-to-have

  • Master's or Doctorate in quantitative field
  • Familiarity with SR 11-7 regulatory guidance
  • Panel-data methods and econometric techniques
  • Hands-on credit model development experience
  • Leadership skills and collaborative team environment

Key Requirements

  • Bachelor's degree minimum
  • One year quantitative behavioral modeling experience
  • One year experience with SAS, Python, or R
  • One year experience with SQL Server Management Studio
  • One year managing large datasets

Work Rights

Not specified

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