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. As a dedicated Quantitative Risk Analyst Lead for Fraud, you will conduct and develop quantitative and analytic models, assessments and/or applications in support of risk management efforts that assess the market and identify risks and gaps in existing or proposed processes. Applies diverse methodologies and deep experience in quantitative analytics to identify and tackle complex and/or undefined risk problems. Works with leadership to remediate gaps and improvements identified between existing practices and regulatory requirements. Leads and executes complex initiatives and cross functional teams within the Chief Risk Office and across the Enterprise that drive problem resolution. Leverages broad enterprise knowledge and business acumen related to core discipline(s), products and processes.
Develop data mapping and graph schema design for various use cases in the identity fraud space. Create and maintain ETL scripts, data pipelines, and manage both batch and incremental data ingestion into Amazon Neptune and other potential graph databases/engines. Develop and optimize graph queries to identify different fraud patterns. Build self-service fraud intelligence tools for internal stakeholders. Conduct graph analytics, including graph traversal and implementing algorithms such as community detection. Perform deep link analysis to uncover interconnected fraudulent activities and conduct graph feature engineering to improve traditional fraud models and boost their performance.
This position can work remotely in the continental U.S. with occasional business travel.
Applies expert analytical knowledge to use sophisticated analytics to assess future risk and/or new risks, opportunities, and efficiency. Presents findings to senior level leadership. Applies expert knowledge and industry standard methodologies to quantify risk and aggregate exposures. Develops sophisticated systems and programs that measure aggregate risk exposures. Performs model validations and presents results to senior leadership. Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and motivate change. Translates recommendations into communication materials to effectively present to senior leadership. Recommendations typically have a major impact on business results. Applies expert knowledge to produce sophisticated analytical material to lead discussions with cross functional teams and senior leadership to understand sophisticated business objectives and influence solution strategies. Drives and crafts cross functional teams in support of initiatives that have significant impact to the enterprise or a core business area. Expertly communicates analytical results, findings and solutions to governance committees and business process owners and influences business analysis.
Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative field (4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree) ~8 years of related quantitative analysis experience in a field relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative field. ~ OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative field and 6 years work experience in a quantitative field relevant to risk management ~ OR PhD in Economics, Finance, Statistics, Mathematics, or other quantitative field and up to 4 years work experience in a quantitative field relevant to risk management.
US military experience through military service or a military spouse/domestic partner Proven experience in graph database technologies, particularly Amazon Neptune. Experience with ETL processes and data pipeline development. Familiarity with fraud detection techniques and identity fraud use cases. Strong programming skills in languages such as Python, Java, or similar. 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. 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. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. 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.