Quantitative Modeler Manager - AML

About the role

This position supports the development, production, and ongoing maintenance of the Bank’s Anti-Money Laundering (AML) Transaction Monitoring systems. The ideal candidate will have experience developing BSA/AML monitoring applications and related professional documentation.

Responsibilities

• Partnering with team members in Enterprise Financial Crimes Compliance (EFCC) and the FIU to become familiar with various transaction monitoring applications, approaches, and processes.
• Supporting/owning/enhancing existing models.
• Creating robust model development documentation specific to U.S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address any concerns related to the models throughout the life of the program.
• Ongoing model monitoring in partnership with another FIU team, requiring research and analysis as appropriate based on performance metrics and Below the Line testing efforts.
• Defending modeling approaches/methodologies/design decisions to both internal and external examiners.

Requirements

• Extensive knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, using SAS, Python, or similar packages.
• Advanced data compilation, programming skills, and qualitative analysis skills.
• Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches.
• Thorough knowledge of applicable regulatory rules, guidance, or supervisory letters.
• Demonstrated independence, teamwork, and leadership skills.
• Strong analytical, organizational, problem-solving, negotiation, and project management skills.
• Excellent interpersonal, verbal, and written communication skills.

Qualifications

• Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience OR MA/MS in a quantitative field, and six or more years of related experience OR PhD in a quantitative field, and five or more years of related experience.

Skills

• Expertise in true machine learning modeling approaches.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law