Fraud Product Director

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

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.

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. xwzovoh
• Clear bias toward hands‑on investigation over operational management.

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