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

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 II to support the development and monitoring of credit risk models, requiring strong quantitative skills and proficiency in Python and SQL. The position is hybrid and involves collaboration with various teams to ensure compliance with regulatory expectations while communicating analytical results effectively

Job Summary

  • This hybrid role requires in-office work four days a week at M&T Bank locations in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, or potentially New York, NY.
  • The position involves developing and monitoring credit risk models for loss forecasting and default probability estimation across small business and home secured lending portfolios.
  • Candidates must possess strong quantitative skills to perform data preparation, exploratory analysis, and model estimation using Python, SQL, and statistical methods.

Matching Summary

Match Score: 85

M&T Bank is seeking a mid-level Credit Model Development Quantitative Analyst II to support the development and monitoring of credit risk models, requiring strong quantitative skills and proficiency in Python and SQL. The position is hybrid and involves collaboration with various teams to ensure compliance with regulatory expectations while communicating analytical results effectively.

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 degree in quantitative field
  • Familiarity with SR 11-7 regulatory guidance
  • Experience with panel-data econometric methods
  • Knowledge of model risk management validation
  • Consumer or small business modeling background

Key Requirements

  • Bachelor's degree required
  • Minimum one year quantitative modeling experience
  • One year experience with SAS, Python, or R
  • One year experience with SQL Server Management Studio

Work Rights

Not specified

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