Job Description

Position Title: Fraud Strategy Analyst – Credit Card Portfolio Location: Wilmington, DE (Hybrid work environment) Job Type: Full-Time About the Role Our client is looking for an experienced fraud strategy professional to play a critical role in safeguarding our credit card portfolio. This position focuses on detecting and mitigating fraudulent activity through analytics, data insights, and system-level strategy development. You'll support both strategic and tactical initiatives to improve fraud prevention and maintain compliance standards. You’ll partner closely with cross-functional teams—including fraud operations, data engineering, and payment processors—to monitor risk patterns, deploy fraud controls, and support ongoing improvements to our card authentication and authorization flows. Key Responsibilities Develop targeted detection frameworks to identify potential abuse in fraud claims. Monitor transactional trends and behavioral anomalies across the credit card portfolio using structured analytics and dashboards. Collaborate with our payment processor to review and enhance card-level security measures, including authentication protocols such as 3D Secure. Ensure alignment with payment network regulations and manage necessary reporting to card schemes. Investigate data discrepancies and anomalies by performing root‑cause analyses and coordinating with internal tech teams for resolution. Run ad hoc data jobs to test hypotheses, refine fraud rules, and uncover new risk vectors. Interpret complex datasets to drive actionable fraud prevention strategies and communicate findings to leadership through clear, data‑backed narratives. Balance speed, precision, and compliance to optimize fraud defense mechanisms without disrupting the customer experience. What You Bring At least 3 years of professional experience in data analytics or risk functions within the financial services industry. Strong command of SQL and familiarity with data visualization tools such as Looker, Power BI, or equivalent platforms. Advanced degree in a quantitative or analytical field such as mathematics, statistics, economics, data science, or engineering. Proven experience with SAS and Microsoft Excel for analytical modeling and reporting. Excellent verbal and written communication skills, especially when presenting technical findings to non‑technical stakeholders. Ability to manage multiple priorities under tight deadlines and work both independently and in team settings. A strategic mindset with the ability to translate data into decision‑making tools and long‑term fraud mitigation strategies. Curious, detail‑oriented, and eager to innovate within a dynamic risk environment. Preferred Qualifications Previous experience in a fintech or digital lending environment. Background in fraud analytics or risk strategy specific to payment cards. Exposure to Python or other programming languages used for data modeling or automation. Please note: This job posting is just a preview of the full scope of the position. A comprehensive job description is shared by a member of our team. #J-18808-Ljbffr SoTalent

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