About the Role
You will set engineering strategy and lead the organisation responsible for ongoing monitoring. You will oversee fraud, financial-crime, and transaction-monitoring platforms; lead managers and senior engineers; own shared decisioning capabilities and the model lifecycle; scale governed agentic AI; and deliver measurable risk and efficiency outcomes.
Requirements
•Engineering leadership in fraud, financial crime, risk, or real-time decisioning
•Fraud detection and mitigation
•Platform strategy
•Machine-learning production deployment and model-performance ownership
•Regulated-environment experience
•Risk and compliance collaboration
•Organisation design
•Data architecture
•Distributed-team leadership
•AI or agentic-system deployment in regulated workflows
Responsibilities
•Set engineering strategy for fraud, financial-crime, and ongoing-monitoring platforms
•Lead backend, frontend, data science, machine-learning, and analytics engineering
•Lead managers and senior engineers and build leadership capability
•Own the Decision Engine and Decision Intelligence Platform
•Own the machine-learning model lifecycle from development through production monitoring
•Scale agentic AI within regulated workflows
•Improve fraud losses, automated alert throughput, and monitoring cost per member
•Align risk, operations, compliance, payments, engineering, and data science around one roadmap
•Build shared capabilities for global deployment while isolating market-specific logic
Benefits
•Share options
•Generous annual leave in addition to bank holidays
•Paid maternity, paternity, and adoption leave
•Sabbatical leave options
•Private family health insurance with OPD coverage and top-up options
•Life and accident insurance
•Mental-wellbeing therapy sessions, courses, meditations, and workshops
•Paid volunteering and personal-growth days
•Work from abroad for up to 90 days annually
•Home-office setup contribution
•Laptop ownership upon replacement
•Office snacks, coffee, tea, and lunch where available
