Quantitative Model Analyst, Level 2

Responsibilities

• Develop, validate, test, document, and implement complex statistical models used to monitor suspicious activity within U.S. Bank customer accounts
• Take ownership of existing models and support the development of new models
• Create/develop models and model documentation
• Conduct periodic performance assessments, tune/calibrate, and ensure models meet regulatory expectations
• Communicate model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams
• Deliver model development artifacts, performance assessments, implementation documentation, business requirements for model integration, ongoing monitoring reports, and presentations

• Bachelor’s degree in a quantitative field, and three or more years of relevant experience OR
• MA/MS in a quantitative field, and less than three years of related experience
• Experience with internally developed and/or vendor-provided models for transaction monitoring or financial crime detection
• Advanced knowledge of statistical modeling techniques and validation methodologies
• Strong programming skills in SAS, Python, SQL, or similar
• Understanding of AML regulations
• Ability to interpret and communicate complex model behavior to non-technical stakeholders
• Strong organizational, analytical, and project management skills
• Demonstrated ability to work independently and collaboratively across teams