Quantitative Model Analyst

We are hiring a Quantitative Model Analyst to create, validate, test, document, implement, and oversee the usage of complex machine learning models, strategies, and profile development for U.S. Bank's Enterprise Fraud Strategy team.

Requirements

• Bachelor's degree in a quantitative field, and five to eight years of experience in statistical modeling
• Master's or PhD degree in a quantitative field, and less than five years of experience in statistical modeling
• Proficiency in machine learning techniques and frameworks for fraud detection
• Experience planning, building, and deploying predictive features to be used in fraud rules or model inputs
• Experience coding in various languages (SQL, R, Python, SAS, etc.)
• Self-motivated individual with demonstrated thought leadership and planning for quantitative modeling and analytical projects development efforts

Benefits

• Market-competitive compensation package
• Performance-based incentives
• Inclusive equitable benefits
• Continuous development opportunities
• Employee recognition programs