Job Description

Job Description

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

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• Lead development and execution of enterprise fraud strategy, policies, and analytics frameworks
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• Design and optimise fraud rules management systems to reduce fraud losses and risk exposure
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• Partner with cross-functional teams to align fraud strategies with business objectives
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• Lead large-scale fraud prevention initiatives and system implementations
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• Translate complex analytical insights into clear recommendations for executive stakeholders
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• Monitor emerging fraud trends, technologies, and regulatory requirements
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• Drive improvements in automation, controls, and fraud detection processes
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• Ensure compliance with financial crime regulations and risk governance standards
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• Collaborate across industry networks to strengthen fraud intelligence and prevention capabilities
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Requirements

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• Bachelor’s degree or equivalent experience (4+ years additional experience accepted in lieu of degree)
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• 8+ years of experience in financial crime, fraud strategy, or risk analytics
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• Strong expertise in fraud rules management and financial crime prevention frameworks
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• Advanced experience with data analysis tools (SQL, SAS, BI tools or equivalent)
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• Strong understanding of banking regulations (Reg E, Reg CC, UDAAP, FACTA, Reg Z)
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• Excellent communication skills with ability to present complex findings to senior stakeholders
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• Experience with financial services data environments and analytical modelling
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Preferred Experience

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• 10+ years in data analytics (Snowflake SQL, SAS, or similar environments)
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• AI/ML experience using Python for exploratory data analysis
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• Experience with identity verification, authentication, or fraud prevention systems
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• Data mining and data mapping experience in collaboration with engineering teams
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• Background in member authentication or onboarding processes
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• Experience in military communities or as a military spouse (advantageous)
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Work Environment

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• Hybrid/remote eligible (U.S. only, with in-office expectations near office locations if within commuting distance)
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• Highly collaborative, cross-functional enterprise environment
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• Strong focus on innovation, analytics, and financial crime prevention
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