Mid-Level Fraud Strategy Analyst

USAA•San Antonio, NC

2d•Remote

About The Position

USAA is seeking a Mid-Level Fraud Strategy Analyst to drive fraud strategy, policies, and analytical capabilities for fraud rules management. The role collaborates with stakeholders across the enterprise and participates in industry efforts to share information, build partnerships, and develop global fraud strategies and policies to protect USAA from current and future fraud threats. This position is remote-eligible in the continental United States, with occasional business travel. Employees residing 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 fraud experience supporting and participating in stakeholder consultation, needs assessment, requirements translation, and prescription of technology solutions.
Experience gathering business requirements and applying business rules to recommend technology solutions.
Demonstrated knowledge and use of fraud strategy rules to reduce or mitigate losses and fraud exposure.
Experience with data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools, or other analysis software, and relevant industry data and methods.
Ability to connect external insights to business problems.
Knowledge of banking 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 and demonstrated ability to synthesize data and clearly report findings.

Nice To Haves

US military experience gained through military service or as a military spouse/domestic partner.

Responsibilities

Serve as an expert in at least one fraud area and develop solutions to complex problems aligned with business strategy and objectives.
Participate in and potentially own analyses or business strategy initiatives using innovative quantitative approaches.
Evaluate and validate fraud detection logic and complex data sets to confirm rules are configured in strategy engines as intended and aligned with risk mitigation objectives.
Analyze fraud trends and evaluate new fraud rules and strategy engine configurations; use modeling techniques and visualization tools to assess effectiveness and recommend enhancements.
Consult with the business to understand 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.
Participate in industry efforts to share information and build partnerships that support fraud strategies and policies.