Director of Engineering KYX

Tide is a UK-founded fintech business financial platform providing banking and financial-management services to small businesses and sole traders.

London, United Kingdom
About Tide

Tide Platform Limited operates Tide, offering business accounts, payments, accounting and tax tools, savings, payroll, and business finance. Tide is FCA-authorised for electronic-money and payment services and is not itself a bank; its business bank accounts are provided through partner banks including ClearBank.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the engineering strategy, organisation, and execution for KYX across onboarding, continuous monitoring, and risk scoring. You will manage backend, frontend, data science, and machine learning engineering across multiple locations. You will oversee the full model lifecycle, scale governed agentic AI in regulated workflows, and improve automated decisioning, due diligence quality, and servicing costs.

Requirements

  • Experience leading engineering organisations in identity, onboarding, fraud, financial crime, or another regulated decisioning domain
  • Track record of turning platform investment into measurable conversion, due diligence, unit economics, and workflow automation outcomes
  • Experience taking machine learning into production at scale and owning live model performance
  • Experience operating in a regulated environment with operations, policy, risk, and compliance functions
  • Strong judgement in organisation design, delivery, platform strategy, data architecture, and technical quality
  • Ability to lead distributed teams across multiple markets and unify separate engineering lines behind one roadmap

Responsibilities

  • Own the engineering strategy and organisation for KYX
  • Lead backend, frontend, data science, and machine learning engineering
  • Own KYX Scoring and ML capabilities across onboarding and ongoing decisioning
  • Manage the machine learning model lifecycle from development through production monitoring
  • Scale agentic AI in regulated workflows
  • Work with operations, policy, risk, compliance, product, and IAM stakeholders
  • Deliver higher automated decisioning rates, improved due diligence and screening quality, and lower KYX costs
  • Build global solutions while isolating market-specific logic

Benefits

  • Share options
  • Generous annual leave in addition to bank holidays
  • Maternity, paternity, and adoption leave
  • Paid and unpaid sabbatical options
  • Public health insurance plan
  • Public pension scheme on eligible earnings
  • Employer-funded DeutschlandTicket
  • Employer-funded Urban Sports Club membership
  • Access to therapy sessions, courses, meditations, and workshops
  • Paid volunteering and development days
  • Annual learning and development budget
  • Work from abroad for up to 90 days annually
  • Home office setup contribution
  • Laptop ownership