Senior Quantitative Model Analyst – Financial Crimes

Usbank; Columbus (OH); On-site; USD 98,000 - 116,000; Full time

Job summary

U.S. Bank is seeking an experienced professional to develop and validate complex statistical models for monitoring suspicious activity across customer accounts. You will own existing models and contribute to new model development, documentation, and ongoing performance assessments.

The role requires clear communication of model results to compliance, risk, and technology teams, with strong programming skills in SAS, Python, and SQL to meet regulatory expectations and internal risk standards.

Qualifications

• Bachelor's degree in a quantitative field with 5+ years of relevant experience
• MA/MS in a quantitative field with 3+ years of related experience
• PhD in a quantitative field with <2 years of related experience

Responsibilities

• Develop, validate, test, document, and implement complex statistical models for monitoring activity
• Own existing models and support development of new models and documentation
• Conduct performance assessments and calibration to meet regulatory and risk standards
• Communicate model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams
• Prepare artifacts, reports, and presentations for internal and regulatory audiences

Skills

Statistical modeling

Model development

Python

SQL

SAS

AML regulations

Stakeholder communication

Independent / collaborative work

Education

Bachelors in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Tools

SAS

Python

SQL

Job description

U.S. Bank is seeking an experienced professional to develop and validate complex statistical models for monitoring suspicious activity across customer accounts. You will own existing models and contribute to new model development, documentation, and ongoing performance assessments.

The role requires clear communication of model results to compliance, risk, and technology teams, with strong programming skills in SAS, Python, and SQL to meet regulatory expectations and internal risk standards.