Director, Fraud Strategy & Analytics

We are looking for a Director of Fraud Strategy and Analytics to own end-to-end fraud strategy, analytics, and risk operations across our subprime consumer lending portfolio.

In this role, you will build and run the fraud function  will set the fraud risk appetite, stand up the operating rhythm, govern policies and rules, and own the feedback loop with manual review, IDV exceptions, disputes, chargebacks, ACH returns, provisional credit, and recoveries. You will balance loss mitigation against approval rates, unit economics, and customer experience. You will also be the senior fraud partner to the revenue, product, credit/risk, data engineering, and compliance teams, as well as executive leadership.

This is a builder role in a lean, fast-moving, and ambiguous environment. We're looking for a curious, enterprising, hands-on leader who thinks differently. You can write code and pull your own data, and you're energized by owning a function end-to-end and managing a smart, nimble team remotely.

Key Responsibilities:

• Fraud Strategy
  
  Roadmap:
  
  Owns and evolves fraud strategy across application, funding, and account/post-book fraud—covering identity, synthetic, first-party, third-party, account takeover, bust-out, never-pay, credit washing, mule/APP scams, and income/employment misrepresentation—balancing loss reduction with approval rates, conversion, funding, and customer experience to meet portfolio-level KPIs.
• Fraud Risk Appetite & Framework: Defines and maintains the fraud risk management framework, including fraud risk appetite (e.g., net fraud loss bps, fraud/AR ratio, first-payment-default fraud rate), tolerances, and escalation triggers; aligns framework to enterprise risk and audit expectations.
• Policy, Rule & Decisioning Governance: Governs fraud policy, rules, and decisioning thresholds end-to-end—standards for proposal, review, approval, deployment, monitoring, retirement, and change control—with clear sign-off across risk, compliance, and operations.
• Portfolio Fraud Monitoring: Directs portfolio fraud monitoring and operating rhythms—loss rates, capture rates, false-positive rates, approval and funding impact, vintage and segment KPIs, disposition mix—and drives timely action when performance drifts.
• Fraud Model & Scorecard Oversight: Oversees fraud model and scorecard performance (PSI, score drift, KS, decay, gain/lift, override rates) and the cadence for recalibration, rule adjustment, and escalation; partners with data science on model strategy, but leads the strategy, deployment, and monitoring layer.
• Emerging Threats & Fraud Ring Detection: Sets the agenda for emerging fraud trends, ring, and cross-channel vulnerability detection, including graph and link analysis, velocity signals, and consortium intelligence; ensures findings are sized, prioritized, and translated into rule, policy, and operational responses.
• Third-Party Signal Strategy: Leads third-party fraud and identity signal strategy—KYC/CIP, identity verification, device intelligence, behavioral biometrics, consortium data, bank/transaction data, income/employment verification, and credit bureau fraud alerts—including vendor evaluation, benchmarking, commercial negotiation input, and onboarding/retirement decisions.
• Fraud Risk Operations Ownership: Manage the interface between fraud strategy and risk operations—queue design, override governance, manual review, IDV exceptions, disputes, chargebacks, ACH returns, provisional credit, and recoveries; translates investigator insight into rule, policy, staffing, and reporting changes.
• Data & Platform Partnership: Partners with product, data engineering, and decisioning platform teams to evolve fraud data sources, feature stores, decision engine capabilities, and monitoring…