Senior Quantitative Model Analyst - Financial Crimes & Risk

U.S. Bank; Minneapolis (MN); On-site; USD 98,000 - 116,000; Full time

Benefits offered by this job

Healthcare

Life insurance

Disability

Parental leave

401(k) plan

Vacation days

Holidays

Adoption assistance

Sick leave

Job summary

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

The candidate will own existing models and support development of new models to identify anomalous transactions indicative of illicit activity, while receiving direction from senior analysts and working independently on designated subjects.

Qualifications

• Bachelor’s degree in a quantitative field with 5+ years of relevant experience OR MA/MS with 3+ years OR PhD with <2 years of related experience.
• Experience with transaction monitoring or financial crime detection models is preferred.
• Excellent communication skills and ability to present complex model results to non-technical stakeholders.

Responsibilities

• Create/develop models and review/model documentation.
• Conduct periodic performance assessments and calibration of models.
• Ensure models meet regulatory expectations and internal risk standards.
• Communicate model performance, limitations, and findings to stakeholders across compliance, risk, and technology teams.
• Develop deliverables including model artifacts, performance assessments, and monitoring procedures.

Skills

Statistical modeling

Python

SAS

SQL

AML regulations

Model validation

Communication

Education

Bachelor’s degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Job description

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

The candidate will own existing models and support development of new models to identify anomalous transactions indicative of illicit activity, while receiving direction from senior analysts and working independently on designated subjects.