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 designed to identify anomalous transaction activity
Create/review model documentation
Conduct periodic performance assessments, tuning/calibration and ensuring models meet regulatory expectations and internal risk standards
Clear communication of model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams
Deliverables include model development artifacts, performance assessments, documentation of model implementation and monitoring procedures, business requirements for model integration, ongoing monitoring reports and related code, presentations and written summaries

Bachelor’s degree in a quantitative field
Less than two years of relevant 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

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Quantitative Model Analyst

Key skills