Mid-Level Fraud Strategy Analyst

USAA•Tampa, FL

3d•$85,040 - $162,550•Remote

About The Position

USAA is hiring a Mid-Level Fraud Strategy Analyst to drive fraud strategy, policies, and analytical capabilities for fraud rules management. The analyst collaborates with stakeholders across the enterprise and participates in industry efforts to exchange information, build partnerships, and formulate global fraud strategies and policies to protect USAA from current and emerging fraud threats. The role is remote eligible in the continental U.S., with occasional business travel. Employees who reside within 60 miles of a USAA office are expected to work on-site four days per week. Relocation assistance is not available.

Requirements

Bachelor's degree, or four years of relevant education and/or experience.
Four years of experience in fraud, including stakeholder consultation, needs assessment, requirements translation, and prescribing technology solutions.
Experience gathering business requirements and applying business rules to recommend technology solutions.
Demonstrated experience using fraud strategy rules to reduce or mitigate losses and fraud exposure.
Experience with data analysis tools, data visualization, and developing analysis queries and procedures using SQL, SAS, BI tools, or other analysis software.
Knowledge of relevant industry data and methods, and ability to connect external insights to business problems.
Knowledge of bank laws and regulations related to money movement and/or payments, including Reg E, Reg CC, UDAAP, FACTA, and Reg Z.
Strong written and verbal communication skills, including the ability to synthesize data and clearly report findings.

Nice To Haves

U.S. military experience gained through military service or as a military spouse or domestic partner.

Responsibilities

Serve as an expert in at least one area of fraud and develop solutions to complex problems that align with business strategy and objectives.
Participate in and potentially own analyses or business strategy initiatives using innovative and quantitative analytical approaches.
Evaluate and validate fraud detection logic by interpreting complex data sets, confirming rules are configured as intended in strategy engines, and ensuring alignment with risk-mitigation objectives.
Analyze fraud trends and strategy terminology; evaluate and validate new fraud rules and strategy engine configurations.
Use data modeling techniques, such as cluster analysis and anomaly detection, and visualization tools to assess strategy effectiveness and recommend risk-mitigation enhancements.
Consult with the business to understand its direction, environment, and strategies; gather requirements and recommend solutions.
Encourage the technical and soft-skill development of direct and indirect peers.
Serve as a resource for mathematical skills, business product knowledge, and/or fraud knowledge.
Identify, measure, and control business risks by implementing and validating rules through strategy engines to enforce compliance policies and procedures.