Lead Fraud Strategy 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