VP Engineering, Ongoing Monitoring

About Tide

At Tide, we help SMEs save time and money in running their businesses by offering business accounts and related banking services, plus a connected set of administrative solutions from invoicing to accounting. Tide supports over 2 million members globally across the UK, India, Germany and France, with offices in London, Sofia, Serbia, Romania, Lithuania, Hyderabad, Gurugram, New Delhi, Berlin, Paris and Luxembourg.

About the Role

Tide is hiring a VP of Engineering to lead the engineering organisation behind Ongoing Monitoring, reporting to the Chief Data and Technology Officer. Ongoing Monitoring protects members by detecting fraud, financial crime and regulatory risk across every transaction Tide processes. You will be accountable for engineering strategy, organisation and execution across all Ongoing Monitoring value streams: real-time transaction monitoring for bank payments fraud, acquiring fraud, Anti Money Laundering, Counter Terrorist Financing, sanctions and prohibited activities monitoring, and the tooling financial investigators depend on.

As VP Engineering, Ongoing Monitoring You Will

• Set the engineering strategy for Tide's fraud, financial crime and ongoing monitoring platforms.
• Lead engineering across backend, frontend, data science, ML engineering and analytics engineering.
• Lead managers and senior engineers, and build the leadership bench underneath you.
• Own the Decision Engine and Decision Intelligence Platform as shared capabilities.
• Own the model lifecycle end to end, from development through backtesting, shadow deployment and staged rollout.
• 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, falling 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.

What We Are Looking For

• Experience leading engineering organisations in fraud, financial crime, risk or another real-time decisioning domain.
• Track record of turning platform investment into measurable outcomes across fraud detection, unit economics and workflow automation.
• Experience taking machine learning from development into production at scale.
• Experience operating in a regulated environment, working with second line risk and compliance and with regulators.
• Ability to lead distributed teams across multiple markets and align functions behind one roadmap.
• Experience deploying AI or agentic systems inside regulated workflows is a bonus.

What You'll Get in Return

Competitive compensation and share options, generous annual leave, parental leave, sabbatical options, health insurance, pension scheme, DeutschlandTicket, Urban Sports Club, mental wellbeing support, learning & development budget, work from abroad up to 90 days, home office setup, and laptop ownership.