Fraud Product Director

Alexander Barnes is leading the search for a Fraud Investigations Lead for a global fintech operating across consumer and merchant payments.

This hire will own complex fraud investigations end-to-end and convert case intelligence into detection logic across products and systems.

Purpose of the role

Own high-complexity fraud investigations across the lifecycle.

From initial signal through to decisioning, escalation, and intelligence capture.

Account takeover and network activity.

This is a deep investigative role. Not operations. Not process ownership.

Key responsibilities

• Complex case ownership: Lead multi-layered fraud investigations. Build defensible case narratives from transaction data, behavioural signals, and external intelligence.
• Network and typology analysis: Identify linked entities, shared infrastructure, and coordinated behaviour across accounts, devices, and payment flows.
• End-to-end decisioning: Own case outcomes including escalation, SAR filing, offboarding, and law enforcement engagement.
• Signal and control development: Translate case findings into detection inputs. New rules, signals, thresholds, and control logic embedded into product flows.
• Product and engineering collaboration: Work directly with engineers and product teams to implement detection logic within onboarding, authentication, and transaction flows.
• Data and model challenge: Partner with data science to validate model outputs, refine features, and improve precision and recall based on live fraud patterns.
• Fraud intelligence loop: Continuously feed emerging typologies, attack vectors, and behavioural patterns back into detection systems.

Technical depth and standards

• Set the bar for investigative quality. Structured thinking, clear documentation, and defensible decisions under uncertainty.
• Ideal candidates will bring strong hands‑on fraud investigation experience with full case ownership in fintech, banking, or payments.
• Background in financial crime from enforcement or legal settings (financial police, law enforcement, regulatory investigations).
• Experience working complex fraud typologies including mule networks, account takeover, and coordinated attacks across payment systems.
• Ability to analyse transaction flows, device and behavioural data, and link entities across fragmented datasets.
• Experience working with product, engineering, or data teams to implement fraud controls at system level.
• Strong understanding of how detection works in practice: rules engines, signal design, and model limitations.
• Comfort operating with incomplete data and making high-confidence decisions.
• Clear bias toward hands‑on investigation over operational management.

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