Quantitative Modeling Analyst II – AML

Us Bank; Chicago (IL); On-site; USD 98,345 - 115,700; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance (basic and optional)

Short-term and long-term disability

Paid time off (vacation)

Job summary

U.S. Bank is seeking a candidate to develop, validate, test, document, and implement complex statistical models used to monitor suspicious activity within U.S. Bank customer accounts.

The candidate will own existing models and support development of new models designed to identify anomalous transaction activity. You will communicate model performance to stakeholders across compliance, risk, and technology teams, and deliver documentation and reports for regulatory scrutiny.

Qualifications

• Bachelor’s degree in a quantitative field, and three or more years of relevant experience.
• MA/MS in a quantitative field, and less than three years of related experience.

Responsibilities

• Create/develop models.
• Create/review model documentation.
• Conduct periodic performance assessments and calibration.
• Ensure models meet regulatory expectations and internal risk standards.
• Communicate model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams.
• Deliverables include model development artifacts, performance assessments, documentation, business requirements, ongoing monitoring reports, and internal/regulatory presentations.

Skills

Statistical modeling

Model validation

Regulatory understanding

Programming (SAS/Python/SQL)

Education

Bachelor’s degree in a quantitative field

MA/MS in a quantitative field

Tools

SAS

Python

SQL

Job description

U.S. Bank is seeking a candidate to develop, validate, test, document, and implement complex statistical models used to monitor suspicious activity within U.S. Bank customer accounts.

The candidate will own existing models and support development of new models designed to identify anomalous transaction activity. You will communicate model performance to stakeholders across compliance, risk, and technology teams, and deliver documentation and reports for regulatory scrutiny.