Mid-Level Fraud Strategy Analyst - Dispute Abuse

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.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity As a dedicated Mid-Level Fraud Strategy Analyst for Dispute Abuse, you will be Accountable for driving USAA's overall fraud strategy, policies, and analytic capabilities for fraud rules management. This role will collaborate with key stakeholders across the enterprise, influencing outcomes in a complex, matrixed environment. This role will be an active participant in industry efforts to share and receive information, build industry partnerships and relations to formulate USAA's global fraud strategies and policies to better protect USAA from current, evolving, and future fraud threats.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you'll do:

Serves as an expert in at least one area of focus within Financial Crimes space to develop solutions for complex problems that align with the business's strategic direction and objectives.

Actively participates in and may take ownership of analyses or business strategy initiatives using innovative/quantitative analytical approaches.

Extract insights from moderately complex data sets to design solutions within the Financial Crimes space through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition and/or Machine Learning.

Utilizes association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, Tableau), and object-oriented programming (Python, SAS) to identify trends from existing data reports and recommends strategies/analysis that should be performed to mitigate risks.

Consults with the business to understand the business direction, environment and strategies for supported domains/clients; gathers requirements to recommend solutions.

Advocates for self and teammates to encourage the growth of direct and indirect peers toward continual technical and soft skill progression.

Serves as a resource for mathematical skills, business product knowledge, and/or Financial Crimes knowledge.

Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

Bachelor's degree; OR 4 years of relevant education and/or experience.
4 years of experience in financial crimes supporting and participating in stakeholder consultation, needs assessment, requirement translation and prescription of technology solutions.

Previous 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 exposures.

Knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

Knowledge of bank laws and regulations related to money movement and /or…