Fraud Risk Management Lead

Flex is building the AI-native private bank for business owners, re-architecting the entire financial system for entrepreneurs with a focus on banking, credit, payments, personal finance, and financial operations. The company targets affluent business owners and aims to replace outdated financial tools with a unified, intelligent system.

Location: United States

Salary: $150k–$250k

Responsibilities

• Own end-to-end fraud risk management for Flex's credit card and DDA product portfolio across consumer and small business segments; full lifecycle coverage from pre-acquisition through post-disbursement.
• Analyze application fraud patterns by channel and source; assess identity signal quality, document authenticity, and synthetic identity indicators.
• Maintain visibility into match rates, challenge rates, and verification performance; identify friction points and gaps.
• Monitor behavioral signals associated with first-party fraud; distinguish first-party risk from credit deterioration.
• Track unauthorized transaction patterns, account takeover indicators, and card-not-present abuse.
• Build and maintain detection frameworks for synthetic identities, especially for SMB applicants.
• Monitor ACH manipulation, payee substitution, unauthorized transfers, and check fraud within DDA products.
• Analyze real-time authorization patterns for anomalies.
• Own the analytical view of dispute resolution patterns; identify chargeback abuse and friendly fraud.
• Build fraud detection frameworks to surface emerging attack patterns.
• Synthesize data across sources to identify coordinated fraud rings.
• Lead periodic fraud risk reviews and present findings to leadership.
• Develop fraud segmentation for detection tuning and policy intervention.
• Partner cross-functionally with credit, legal, compliance, financial crimes, operations, and product teams.
• Contribute to scenario analysis and stress testing for fraud loss.
• Serve as the internal SME on fraud analytics, establishing detection standards and measurement frameworks.

Requirements

• 7–15 years of hands-on fraud risk management experience across consumer and small business products, with experience in banking or fintech.
• Deep expertise in all three fraud typologies: first-party, third-party, and synthetic identity.
• Fluent in fraud signal tools: device fingerprinting, IP intelligence, identity graph analysis, biometrics, velocity rules, ML anomaly detection.
• Understanding of DDA fraud vectors: ACH, check fraud, Reg E, account takeover.
• Proficient in SQL and Python or R for building detection logic and analysis.
• Knowledge of regulatory and compliance considerations: SAR, Reg E, FCRA, BSA/AML.

Additional Information

• This role offers significant upward potential, with a focus on building core risk management disciplines.
• The candidate should operate at a senior thinking level, proactively identifying emerging attack vectors.
• Requires high quantitative aptitude, strong communication skills, and the ability to translate complex fraud dynamics into clear narratives.