Senior Quantitative Risk Analyst - AML Modeling

Location: Charlotte, NC - CENTS, Phoenix Campus (Main), Chesapeake, Tampa Campus, Colorado Springs Campus, Plano Legacy, San Antonio Home Office II/III

Time Type: Full time

Job Description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

The USAA AML Modeling & Analytical Team is actively seeking a seasoned Senior Quantitative Risk Analyst to spearhead the development, refinement, and deployment of a comprehensive suite of Financial Crimes Models. This pivotal role will leverage expert analytical acumen and extensive technical proficiency to architect and optimize model performance for Transaction Monitoring (Actimize), Lexis Bridger Screening Systems, and Customer Risk Scoring. The successful candidate will collaborate with key stakeholders to proactively address and resolve identified gaps, ensuring alignment with evolving regulatory mandates. This position offers a significant opportunity to drive impactful initiatives within complex, cross-functional teams across USAA, fostering the creation of forward-thinking solutions.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL.

Relocation assistance is not available for this position.

What you'll do:

• Utilizes advanced analytics to assess future risk, opportunities, and effectiveness and translates results into meaningful solutions to enhance decision making.
• Applies advanced knowledge and industry best practices to quantify risk and aggregate exposures.
• Engages in model validation and produces model validation reports.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and drive change.
• Translates recommendations into communication materials to effectively present to colleagues for peer review and management.
• Applies advanced knowledge to produce advanced analytical material for discussions with cross functional teams to understand complex business objectives and influence solution strategies.
• Provides mentorship to other team members in the peer review process.

What you have:

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline or 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
• 6 years related quantitative analysis experience in a discipline relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative discipline OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative discipline and 4 years work experience in a quantitative discipline relevant to risk management OR PhD in Economics, Finance, Statistics, Mathematics, or other quantitative discipline and up to 2 years work experience in a quantitative discipline relevant to risk management.

What sets you apart:

• A Master or Ph.D. degree in a quantitative field. Advanced knowledge of statistical and machine learning models and techniques
• 5+ years of experience in developing, validating and implementing Financial Crimes Models. Solid understanding of AML and Financial Crimes modeling techniques.
• 10+ years of hands-on technical coding experience and strong programming skills, e.g. Python, SAS, SQL, R.
• Prior experience working on Transaction Monitoring Platform such as Actimize, Lexis Bridger, preferrable modern systems leveraging Machine Learning Algorithm for Detection..
• ACAMS Certified

Compensation range: The salary range for this position is: $114,080 - $218,030.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.