Quantitative Modeler Manager - AML

U.S. Bank • Charlotte, NC

3d • Hybrid

About The Position

This individual will work with a team of Financial Intelligence Unit (FIU) analysts responsible for supporting the development, production, and ongoing maintenance (including tuning and performance monitoring) of the Bank’s Anti-Money Laundering (AML) Transaction Monitoring systems. These systems include the Actimize SAM Security Blanket model as well as a portfolio of targeted monitoring models developed internally via SAS/SQL/Python. The ideal candidate for this position will have prior experience developing BSA/AML monitoring applications and related professional documentation (development documents, procedure manuals, PowerPoint presentations, etc.). The candidate must be highly motivated, organized, and an effective manager of time with the ability to handle multiple priorities simultaneously. This individual will have proven capabilities driving analytical projects that require communication and coordination with team members and stakeholders. Additionally, this candidate will play a key role in advancing the AML monitoring program at U.S. Bank into more sophisticated anomaly detection systems. The candidate must be able to demonstrate expertise in true machine learning modeling approaches. The role is highly technical and requires significant interaction with both internal and external review and validation functions, along with the ability to explain complex concepts in a manner appropriate for various levels of audiences.

Requirements

• 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
• Prior experience developing BSA/AML monitoring applications and related professional documentation (development documents, procedure manuals, PowerPoint presentations, etc.).
• Highly motivated, organized, and an effective manager of time with the ability to handle multiple priorities simultaneously.
• Proven capabilities driving analytical projects that require communication and coordination with team members and stakeholders.
• Demonstrate expertise in true machine learning modeling approaches.
• Ability to explain complex concepts in a manner appropriate for various levels of audiences.

Nice To Haves

• Extensive knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS, Python, or similar package
• 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
• 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 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
• Driving the full model-development lifecycle, from data exploration to pilot to production level 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.
• Professional communication skills are crucial as this individual (and their work product) will represent the FIU team to EFCC senior leadership, Model Risk Management, internal audit and quality assurance functions, business partners, and regulators.

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
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Manager