Quantitative Modeler Manager - AML

NOTE: This position is not eligible for visa sponsorship.

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.

Essential functions include:

• 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.     

Basic 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

Preferred Skills/Experience
- 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

LOCATION EXPECTATIONS:  This role requires working from a U.S. Bank Location three (3) or more days per week.

NOTE: This position is not eligible for visa sponsorship.