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Tide is a fintech platform serving over 2 million SMEs globally with business banking, invoicing, and accounting solutions. The company has raised over $300 million and operates across the UK, India, Germany, and France with 2,800+ employees.
You will lead the engineering organization behind Tide's Ongoing Monitoring platform, reporting directly to the Chief Data and Technology Officer. Ongoing Monitoring is a critical system that detects fraud, financial crime, and regulatory risk across every transaction Tide processes. This role sits at the intersection of regulated risk operations, real-time platform engineering, and applied AI.
Key Responsibilities:
- Set engineering strategy for fraud, financial crime, and ongoing monitoring platforms
- Lead engineering teams 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; build the leadership bench underneath you
- Collaborate with 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: development, backtesting, shadow deployment, staged rollout, and production performance monitoring
- Scale agentic AI in regulated workflows, including migrating Ongoing Monitoring agents onto Tide's shared agentic infrastructure
- Deliver measurable risk and efficiency outcomes: lower fraud losses, higher automated alert throughput, reduced ongoing monitoring cost per member
- Build the operating model connecting first line operations, second line risk and compliance, payments and acquiring engineering, KYX, AI Platforms, and data science leadership
- Apply principles to build once, deploy globally, and keep market-specific logic isolated
The role is positioned as one of the most important engineering roles at Tide, shaping how quickly the company protects members, how confidently it enters new markets, and how applied AI compounds into lasting advantage in a regulated environment.
Workplace: Hybrid model with flexible remote work supported, but regular in-person gatherings encouraged at Hyderabad office hub.
Requirements:
- Experience leading engineering organizations 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, with ownership of model performance post-launch and fast iteration of model development
- Experience operating in a regulated environment, working with second line risk and compliance functions and with regulators
- Strong judgment across organization 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
- Bonus: Experience deploying AI or agentic systems inside regulated workflows, with clear view on governance, evaluation, and human oversight
