Senior Manager - Financial Crimes and Transaction Analytics

Why USAA?

The Opportunity

The Senior Manager – Financial Crimes and Transaction Analytics is responsible the development of machine learning models that improve USAA’s ability to detect and prevent fraud on credit card, debit card, check, deposit, digital payments, as well as in other areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes:

• Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly complex AI/ML techniques, to generate highly significant reduction in fraud losses and improvement in Member experience
• Work with Strategies and Model Management teams to understand and plan model needs
• Drives continuous innovation in modeling efforts
• Leads a team of Data Scientist II, I, and Senior Data Scientists
• Collaborate with the broader analytics community to share standard methodologies and techniques

What you'll do:

• Collaborates or participates with other analytical leaders in driving the strategic direction of small and large scale analyses using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.
• Develops team reputation as highly skilled experts in the area of decision science support.
• Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.
• Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Provides input to additional resource needs ranging from IT investments, 3rd party support or additional analysts.
• Provides support for business rationale and justification for additional needs.
• Understands the business direction, environment and strategies for supported domains/clients, to identify and recommend solutions which influence the business and motivate change.
• Partners with enterprise analytics teams to build USAA core analytics capabilities and processes.
• Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
• Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.
• Remains informed on current trends in data and analytics, such as Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data.
• Finds opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
• Works with IT/CTO partners on new data and platforms that correspond to evolving abilities.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 8 years of experience in a decision support analytic function.
• 2 years of direct team lead or management experience.
• Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

• US military experience through military service or a military spouse/domestic partner
• 5+ years of People Management experience
• Graduate degree in a quantitative subject area
• Over 4 years of experience with model development
• Experience in fraud/financial crimes model development

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.

What we offer:

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. The salary range for this position is: $138,230 - $248,810.

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

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, please 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.