Group Head of Fraud Product

Alexander Barnes is leading the search for a Group Head of Fraud Product for one of the fastest growing FinTechs globally.

This hire will own fraud prevention strategy end-to-end and build the systems, controls, and product experiences that stop fraud before it happens.

Purpose of the role

Own fraud prevention across the full customer and transaction lifecycle.

From early signal detection through to real-time intervention, decisioning, and continuous optimisation.

Translate fraud intelligence into scalable product, model, and control improvements across:

• Consumer fraud
• Merchant fraud
• Account takeover and network activity

This is a product leadership role.

Not investigations. Not operations. Not process ownership.

Key responsibilities

Fraud product ownership:

• Own the fraud domain across risk, cost, speed, and customer experience.
• Balance loss prevention with conversion, UX, and operational efficiency.

End-to-end prevention strategy:

• Design and scale fraud controls across onboarding, authentication, payments, and account lifecycle.
• Move detection upstream. Reduce reliance on downstream intervention.

Detection and intervention systems:

• Own rules, signals, and model-driven detection across transactions, sessions, and behaviours.
• Drive real-time decisioning across product flows.

Product and engineering leadership:

• Work with engineering, data science, design, and operations to build and ship fraud prevention systems.
• Embed controls directly into product architecture.

Data and model optimisation:

• Partner with data science to improve model performance across precision, recall, and latency.
• Define feature strategy using behavioural, device, and network data.

Fraud intelligence integration:

• Leverage threat intelligence and emerging typologies to continuously evolve detection systems.
• Turn attack patterns into scalable controls.

Customer experience and friction design:

• Design proportional interventions that reduce fraud without breaking the customer journey.
• Own trade-offs between security, speed, and convenience.

Operational efficiency through automation:

• Reduce manual handling by building automated prevention and decisioning systems.
• Decouple human intervention from core fraud controls wherever possible.

Technical depth and standards

• Set the bar for how fraud prevention is built.
• Structured thinking, strong product judgment, and clear ownership of outcomes.

Ideal candidates will bring

• Strong product leadership experience in fraud, risk, identity, or trust & safety within fintech, banking, or large-scale platforms
• Track record of building and scaling fraud prevention systems, not just managing outcomes
• Experience owning KPIs across fraud loss, customer experience, and operational cost
• Deep understanding of fraud typologies including scams, mule networks, account takeover, and coordinated attacks
• Experience working closely with engineering and data teams to ship production-grade detection systems
• Strong grasp of how detection works in practice: rules engines, feature design, model limitations, and real-time decisioning
• Ability to operate across product, data, and risk with full ownership of the domain
• Experience designing controls across onboarding, authentication, and transaction flows
• Bias toward building scalable systems over manual processes
• Comfortable making decisions under uncertainty with incomplete data