Quantitative Model Analyst In Minneapolis, Minnesota

U.S. Bank

Minneapolis, Minnesota, US
Base: $136,469.00 - $155,000.00; bonus/equity: not...
Validate machine learning fraud models
Statistical and machine learning techniques
Logistic regression and xgboost
The Quantitative Model Analyst will collaborate with model owners and external vendors to validate machine learning fraud models in compliance with OCC 2011-12 Regulatory Guidance and U.S. Bank’s Model Risk Management Policy and Standards

Job Summary

  • The Quantitative Model Analyst will collaborate with model owners and external vendors to validate machine learning fraud models in compliance with OCC 2011-12 Regulatory Guidance and U.S. Bank’s Model Risk Management Policy and Standards.
  • The role also involves developing independent statistical models to challenge conceptual frameworks, methodologies, data selection, model performance, and outcome analysis.
  • Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work.

Matching Summary

The Quantitative Model Analyst will collaborate with model owners and external vendors to validate machine learning fraud models in compliance with OCC 2011-12 Regulatory Guidance and U.S. Bank’s Model Risk Management Policy and Standards.

Salary

Base: $136,469.00 - $155,000.00; Bonus/Equity: Not specified; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • validate machine learning fraud models
  • statistical and machine learning techniques
  • logistic regression and XGBoost
  • independent statistical models
  • model performance risks
  • fraud model monitoring reports

Nice-to-have

  • collaboration with cross-functional teams
  • translate business requirements
  • senior management presentations

Key Requirements

  • Master’s degree in Statistics or Mathematics plus 2 years of experience
  • Bachelor’s degree in Statistics or Mathematics plus 5 years of experience
  • developing predictive models using statistical and machine learning techniques
  • risk modeling techniques
  • programming languages and tools including R, Python, SAS, and SQL

Work Rights

Not specified

Tailored Resume

Cover Letter