Fraud Strategy Analyst Senior

USAA•San Antonio, TX

23h•Hybrid

About The Position

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. As a dedicated Fraud Strategy Analyst Senior, 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 4 days per week.

Requirements

Bachelor's degree: OR 4 years of related experience (in addition to the minimum years of experience ) may be substituted in lieu of degree.
6 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 recommend strategies that 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.
Strong 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 to synthesize data and clearly reporting findings.

Nice To Haves

At least 8 years of Data Analytics experience leveraging Snowflake SQL and/or SAS in financial services industry.
At least 2 years of AI/ML experience using Python for exploratory data analytics.
Experience with managing data for customer facing identity proofing and authentication tools and products.
Data Mining experience for complex analytics and partner with Technology teams to perform Data Mapping.
Excellent communication and interpersonal skills, with a demonstrated willingness to actively participate in discussions, ask clarifying questions, and present analytical findings to both technical and non-technical audiences.
Preferred experience with Member Authentication and Join Process in addition to Identity Proofing.
US military experience through military service or a military spouse/domestic partner.

Responsibilities

Serves as an expert in multiple areas of focus within Financial Crimes space and facilitates discussions with team members to solution towards the strategic business direction.
Takes ownership of small- and large-scale analyses or business strategy initiatives using advanced innovative/quantitative analytical approaches.
Extracts insights from large, 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., Power BI , Tableau), and object-oriented programming (Python, SAS) too.
Provides insights into leadership related to additional resource needs ranging from IT investments, 3rd party support or additional analysts.
Consults with the business to understand the business direction, environment and strategies for supported domains/clients; gathers requirements to recommend solutions and influence the business and drive change.
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.
Ensure risks associated with business activities are effectively identified , measured, monitored , and controlled in accordance with risk and compliance policies and procedures.