Mid-Level Fraud Strategy Analyst - Dispute Abuse

USAA•San Antonio, NC

1d•Remote

About The Position

USAA is seeking a Mid-Level Fraud Strategy Analyst focused on Dispute Abuse to help drive the company's fraud strategy, policies, and analytic capabilities for fraud rules management. The analyst collaborates with enterprise stakeholders and participates in industry information-sharing and partnership efforts to shape global fraud strategies and policies that protect USAA from current and emerging threats. The role is remote-eligible within the continental United States, with occasional business travel. Employees who live within 60 miles of a USAA office are expected to work onsite four days per week.

Requirements

Bachelor's degree, or four years of relevant education and/or experience.
Four years of experience in financial crimes, including stakeholder consultation, needs assessment, requirements translation, and prescription of technology solutions.
Experience gathering business requirements and applying business rules to recommend technology solutions.
Demonstrated experience using fraud rules management to reduce or mitigate loss and fraud exposure.
Knowledge of data analysis tools, data visualization, and developing analysis queries and procedures in SQL, SAS, BI tools, or other analysis software.
Knowledge of relevant industry data and methods, with the 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

Experience developing and implementing Fraud Dispute Abuse strategies.
U.S. military experience gained through military service or as a military spouse/domestic partner.

Responsibilities

Serve as an expert in at least one Financial Crimes focus 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 analytical approaches.
Analyze moderately complex data sets and develop Financial Crimes solutions using data preparation, modeling, visualization, predictive analysis, pattern recognition, and/or machine learning.
Use association rule learning, cluster analysis, anomaly detection, data analysis and visualization tools, and object-oriented programming to identify trends and recommend strategies to mitigate risk.
Consult with business partners to understand direction, environment, and strategies; gather requirements and recommend solutions.
Encourage the technical and soft-skill development of peers and serve as a resource for mathematical skills, business product knowledge, and/or Financial Crimes knowledge.
Ensure risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Participate in industry information-sharing efforts and build partnerships to inform fraud strategies and policies.