VP Engineering, Ongoing Monitoring

Job Description

REQUIREMENTS

• Experience leading engineering organisations in fraud, financial crime, risk or another real-time decisioning domain
• Strong track record of turning platform investment into measurable outcomes across fraud detection and mitigation, unit economics reduction and workflows automation
• Experience taking machine learning from development into production at scale, and owning model performance once live and fast iteration of model development
• Experience operating in a regulated environment, working with second line risk and compliance functions and with regulators
• Strong judgement across organisation design, delivery, platform strategy, data architecture and technical quality
• Ability to lead distributed teams across multiple markets and align several functions behind one roadmap, operating model and set of priorities
• Experience deploying AI or agentic systems inside regulated workflows, with a clear view on governance, evaluation and human oversight would be a bonus

RESPONSIBILITES

• Set the engineering strategy for our client’s fraud, financial crime and ongoing monitoring platforms
• Lead engineering across backend, frontend, data science, ML engineering and analytics engineering, primarily based in Hyderabad with product leadership split between Hyderabad and London
• Lead managers and senior engineers, and build the leadership bench underneath you
• Work with multiple stakeholders across risk, operations, business, design, product and engineering
• Own the Decision Engine and Decision Intelligence Platform as shared capabilities, unifying domestic and international payment flows
• Own the model lifecycle end to end, from development through backtesting, shadow deployment and staged rollout to production performance monitoring
• Scale agentic AI in regulated workflows, including migrating Ongoing Monitoring agents onto our client’s shared agentic infrastructure and holding the line on our agentic governance framework
• Deliver measurable risk and efficiency outcomes: lower fraud losses, higher automated alert throughput, and a falling ongoing monitoring cost per member
• Build the operating model that connects first line operations, second line risk and compliance, payments and acquiring engineering, KYX, AI Platforms and data science leadership behind one roadmap
• Apply principles so we build once, deploy globally, and keep market-specific logic isolated

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