Remote Data Analyst Opt Jobs in Gilbert, AZ (NOW HIRING)

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 Fraud Strategy Analyst, 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.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.

Relocation assistance is not available for this position.

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 payments, including but not limited to Reg E, Reg CC, UDAAP, FACTA and Reg Z.
• Strong written and verbal communication skills, with demonstrated ability synthesizing data and clearly reporting findings.

What sets you apart:

• Fraud strategy experience in money movement space.
• Experience using fraud detection engine for strategy rule writing.
• Familiar with writing fraud strategy related Wire, ACH and Zelle.

Compensation range: The salary range for this position is: $85,040 - $162,550.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.