AML Modeling Analyst — Impactful Risk Analytics

U.S. Bank; Charlotte, Northern (NC, KY); Hybrid; USD 112,000 - 131,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Disability insurance

Pregnancy and parental leave

401(k) retirement plan

Paid vacation

Up to 11 paid holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking a senior quantitative analyst to join the Enterprise Financial Crime Compliance (EFCC) team. You will evaluate AML Transaction Monitoring models, monitor performance, and collaborate with model owners, auditors, and leadership to drive improvements.

Strong SAS/SQL/Python skills and experience in regulated environments are essential. The role requires deep analytical capabilities, strong communication, and the ability to manage multiple tasks in a fast-paced setting while

Qualifications

• Bachelor’s degree in a quantitative field with at least 8 years of relevant experience.
• MA/MS in a quantitative field, and five or more years of related experience
• PhD in a quantitative field, and four or more years of related experience
• Experience evaluating quantitative models or monitoring frameworks in a regulated environment.

Responsibilities

• Conduct in-depth analytical research into model performance and behavior changes, including investigation of shifts in alert volumes, customer populations, and transaction patterns to identify underlying drivers and assess potential model impacts.
• Execute and document periodic testing, and performance reviews in alignment with regulatory expectations and internal risk standards.
• Review and challenge model behavior, limitations, and assumptions; identify potential control gaps and recommend remediation actions.
• Conduct comprehensive code reviews and code change assessments for AML Transaction Monitoring models to ensure alignment with documented intent, coding standards, and regulatory requirements.
• Provide clear, constructive feedback to model and code owners, supporting effective issue resolution and continuous improvement.
• Assess model threshold & sampling soundness through Below-the-Line (BTL) reviews and support ongoing calibration decisions.
• Prepare and present materials for audiences including senior leadership, Model Risk Management, Corporate Audit, and regulatory partners.

Skills

Statistical analysis

Model risk concepts

Data analysis

Regulatory knowledge

Communication

AML/BSA knowledge

Education

Bachelor’s degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Tools

SAS

SQL

Python

Job description

U.S. Bank is seeking a senior quantitative analyst to join the Enterprise Financial Crime Compliance (EFCC) team. You will evaluate AML Transaction Monitoring models, monitor performance, and collaborate with model owners, auditors, and leadership to drive improvements.

Strong SAS/SQL/Python skills and experience in regulated environments are essential. The role requires deep analytical capabilities, strong communication, and the ability to manage multiple tasks in a fast-paced setting while