Fraud Analyst

Fraud Strategy Analyst Lead Location: San Antonio, Texas, USA (Remote eligible within the continental U.S. with hybrid expectations near office locations) Employment Type: Full-Time Salary: $143,320 – $273,930 per year About the Role A leading financial services organisation is seeking a Fraud Strategy Analyst Lead to drive enterprise-wide fraud strategy, policy development, and advanced analytics capabilities. This role focuses on designing and optimising fraud rules, strengthening financial crime prevention frameworks, and shaping long-term risk mitigation strategies across complex, cross-functional environments. You will act as a key subject matter expert in fraud strategy and analytics, influencing decision-making at senior leadership level while collaborating with internal stakeholders and external industry partners to combat evolving fraud threats. Key Responsibilities Lead development and execution of enterprise fraud strategy, policies, and analytics frameworks Design and optimise fraud rules management systems to reduce fraud losses and risk exposure Partner with cross-functional teams to align fraud strategies with business objectives Lead large-scale fraud prevention initiatives and system implementations Translate complex analytical insights into clear recommendations for executive stakeholders Monitor emerging fraud trends, technologies, and regulatory requirements Drive improvements in automation, controls, and fraud detection processes Ensure compliance with financial crime regulations and risk governance standards Collaborate across industry networks to strengthen fraud intelligence and prevention capabilities Requirements Bachelor’s degree or equivalent experience (4+ years additional experience accepted in lieu of degree) 8+ years of experience in financial crime, fraud strategy, or risk analytics Strong expertise in fraud rules management and financial crime prevention frameworks Advanced experience with data analysis tools (SQL, SAS, BI tools or equivalent) Strong understanding of banking regulations (Reg E, Reg CC, UDAAP, FACTA, Reg Z) Excellent communication skills with ability to present complex findings to senior stakeholders Experience with financial services data environments and analytical modelling Preferred Experience 10+ years in data analytics (Snowflake SQL, SAS, or similar environments) AI/ML experience using Python for exploratory data analysis Experience with identity verification, authentication, or fraud prevention systems Data mining and data mapping experience in collaboration with engineering teams Background in member authentication or onboarding processes Experience in military communities or as a military spouse (advantageous) Work Environment Hybrid/remote eligible (U.S. only, with in-office expectations near office locations if within commuting distance) Highly collaborative, cross-functional enterprise environment Strong focus on innovation, analytics, and financial crime prevention SoTalent