Fraud Strategy Analyst - Intermediate Level

USAA•San Antonio, NC

5d•Hybrid

About The Position

We are seeking a detail-oriented Fraud Strategy Analyst II with a strong background in debit card transactions to join our team. In this role, you will be responsible for developing and implementing effective strategies to detect, prevent, and mitigate fraud. You will analyze transaction data, identify emerging fraud patterns, and collaborate with cross-functional teams to minimize financial losses. This is an exciting opportunity to make a significant impact in safeguarding our customers and the company from fraudulent activities. 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.

Requirements

Bachelor's degree; OR 4 years of relevant education and/or experience.
2 years of experience in financial crimes supporting and participating in stakeholder consultation, needs assessment, requirement translation and prescription of technology solutions.
Demonstrates understanding of the application of business rules in technology solutions.
Understanding of fraud rules management including 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.

Nice To Haves

2+ years in card fraud analytics area in financial industry
2+ years of experience in coding fraud rules in one of the main rule management systems (Falcon, VRM, Broadcom, SAS Raptor)
Analytical experience in Debit Card Fraud, Wallet Provisioning, E-Commerce and other Point of sale strategies

Responsibilities

Utilizes domain knowledge of Financial Crimes to develop robust rules that help prevent fraud and develops solutions that align with the business's strategic direction and objectives.
Contributes to analyses using innovative/quantitative analytical approaches and data-driven insights.
Extract insights from data 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 provide observations that help inform the strategies/analysis that should be performed to mitigate risks.
Uses understanding of the business direction, environment and strategies for supported domains/clients, to identify and 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.