Senior Quantitative Modeler & AML ML Lead

U.S. Bank; Knoxville (TN); On-site; USD 120,000 - 170,000; Full time

Job summary

U.S. Bank is seeking an experienced quantitative professional to join the Financial Intelligence Unit with responsibility for developing, deploying, and maintaining AML transaction monitoring models.

You will work with Actimize and internally developed SAS/Python models, driving end-to-end analytics projects and documentation. The role emphasizes advanced machine learning techniques, collaboration with EFCC, Model Risk Management, internal audit, and regulators.

Qualifications

• Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience.
• MA/MS in a quantitative field, and six or more years of related experience.
• PhD in a quantitative field, and five or more years of related experience.
• Extensive knowledge of regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, with model validation tests/methodologies.
• Advanced data compilation, programming skills and qualitative analysis skills.
• Thorough knowledge of risk factors, regulatory rules, and risk management approaches.
• In-depth knowledge of Bank products and services.
• Demonstrated independence, teamwork and leadership skills.
• Strong analytical, organizational, problem-solving, negotiation, and project management skills.
• Excellent interpersonal, verbal and written communication skills.

Responsibilities

• Partnering with EFCC and FIU to understand transaction monitoring applications and processes.
• Supporting/owning/enhancing existing models
• Driving the full model-development lifecycle from data exploration to production-level models
• Creating robust model development documentation per Model Risk Governance standards and coordinating with Model Risk Validation
• Ongoing model monitoring with another FIU team and analysis based on performance metrics and Below the Line testing
• Defending modeling approaches to internal and external examiners and regulators

Skills

Regression techniques

Time series analysis

Statistical modeling

Python

SAS

Data analysis

Project management

Communication skills

Leadership

Education

Bachelor’s degree in a quantitative field

MA/MS in a quantitative field

PhD in a quantitative field

Tools

SAS

Python

Job description

U.S. Bank is seeking an experienced quantitative professional to join the Financial Intelligence Unit with responsibility for developing, deploying, and maintaining AML transaction monitoring models.

You will work with Actimize and internally developed SAS/Python models, driving end-to-end analytics projects and documentation. The role emphasizes advanced machine learning techniques, collaboration with EFCC, Model Risk Management, internal audit, and regulators.