Quantitative Risk Analyst Lead - Fraud

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 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. Additional Responsibilities Include: 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