Senior Quantitative Model Analyst for AML Monitoring

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

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and retirement plan

Paid vacation

Parental leave

Life insurance

Job summary

U.S. Bank is seeking a senior quantitative professional to develop, validate, test, and implement complex statistical models for monitoring suspicious activity in customer accounts. You will own existing models and contribute to new model development under guidance from senior analysts.

The role requires strong programming in SAS, Python, SQL, and solid communication with stakeholders across compliance, risk, and technology. Location-based role with on-site work several days per week.

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.
• Experience with internal or vendor models for transaction monitoring or financial crime detection.
• Advanced knowledge of statistical modeling techniques and validation methodologies.

Responsibilities

• Create/develop models and model documentation.
• Conduct performance assessments, tuning/calibration, and ensure regulatory compliance and internal risk standards.
• Communicate model performance and findings to stakeholders across compliance, risk, and technology teams.
• Produce artifacts: model development pieces, performance assessments, documentation, business requirements, and ongoing monitoring reports.

Skills

Statistical modeling

Model validation

Communication skills

Independent worker

Regulatory knowledge

Education

Bachelor’s degree 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 a senior quantitative professional to develop, validate, test, and implement complex statistical models for monitoring suspicious activity in customer accounts. You will own existing models and contribute to new model development under guidance from senior analysts.

The role requires strong programming in SAS, Python, SQL, and solid communication with stakeholders across compliance, risk, and technology. Location-based role with on-site work several days per week.