Quantitative Model Analyst - AML
$111,605–$131,300 year
On-siteChicago, Illinois, United States or Charlotte, North Carolina, United States
Job Summary
Conduct in-depth analytical research into AML Transaction Monitoring model performance and behavior changes, including investigation of shifts in alert volumes, customer populations, and transaction patterns to identify underlying drivers. Execute periodic testing and performance reviews aligned with regulatory expectations, while reviewing and challenging model behavior, limitations, and assumptions to identify control gaps and recommend remediation actions. Perform comprehensive code reviews and code change assessments to ensure alignment with documented intent, coding standards, and regulatory requirements. Assess model threshold and sampling soundness through Below-the-Line reviews to support ongoing calibration decisions. Prepare and present materials to senior leadership, Model Risk Management, Corporate Audit, and regulatory partners.
Required Qualifications
- Bachelor's degree in a quantitative field
- 8 years of relevant experience
- MA/MS in a quantitative field
- 5 or more years of related experience
- PhD in a quantitative field
- 4 or more years of related experience
- Strong understanding of model risk concepts
- Performance monitoring
- Sampling methodologies
- Root cause analysis
- Strong written and verbal communication skills
- Highly self-driven
- Well-organized
- Efficient in time management
- Capable of handling multiple tasks at once
- Ability to assess whether code logic, data inputs, transformations, and outputs align with documented intent
- Conduct in-depth analytical research into model performance and behavior changes
- 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
- Assess model threshold & sampling soundness
- Prepare and present materials for audiences including senior leadership, Model Risk Management, Corporate Audit, and regulatory partners
- Ability to work independently while managing multiple priorities in a fast-paced environment
- Ability to clearly communicate (verbally and in writing) model performance, risks, and recommendations
- Self‐directed problem solver who identifies gaps and resolves issues independently
- Ability to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies
Desired Qualifications
- Experience evaluating quantitative models or monitoring frameworks in a regulated environment
- Demonstrated ability to analyze complex data, investigate changes in model behavior, and develop well-supported conclusions
- Proficiency in SAS, SQL, and Python for data analysis, testing, automation, and code review
- Demonstrated ability to analyze complex datasets
- Conduct statistical assessments and exploratory research
- Translate findings into actionable insights regarding model behavior, performance trends, and emerging financial crime risks
- Strong understanding of quantitative modeling concepts, including model drivers, segmentation strategies, threshold optimization, performance monitoring, and root cause analysis
- Experience working with quantitative models, analytics, or monitoring frameworks in a regulated environment
- Proficiency in SAS, SQL, and Python for data analysis, testing, and automation
- Strong analytical skills with attention to detail and the ability to evaluate complex model behavior
- Experience supporting AML/BSA Transaction Monitoring systems or financial crime detection tools
- Understanding of AML best practices and regulatory expectations
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