Opportunity at
TideVP Engineering, Ongoing Monitoring
Tide is seeking a leader for its Ongoing Monitoring engineering organization, at VP level. The VP answers to the company's Chief Data and Technology Officer. Tide…
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About This Role
Tide is seeking a leader for its Ongoing Monitoring engineering organization, at VP level. The VP answers to the company's Chief Data and Technology Officer. Tide provides business accounts and connected admin tools, from invoicing through to accounting, for small businesses, and has more than two million members across France, Germany, India and the UK. Ongoing Monitoring spots fraud, financial crime and compliance risk in each transaction Tide handles. Its…
Job Description
Tide is seeking a leader for its Ongoing Monitoring engineering organization, at VP level. The VP answers to the company's Chief Data and Technology Officer. Tide provides business accounts and connected admin tools, from invoicing through to accounting, for small businesses, and has more than two million members across France, Germany, India and the UK.
Ongoing Monitoring spots fraud, financial crime and compliance risk in each transaction Tide handles. Its remit runs from real-time checks on bank payments and merchant acquiring fraud through to AML, counter-terrorist financing, sanctions screening, prohibited-activity checks and the tools investigators use. The work involves machine learning models in production and agentic AI inside regulated workflows.
The VP sets direction for engineering and leads teams spanning back end, front end, data science, machine learning and analytics. Most engineers are based in Hyderabad, and product leadership is split between Hyderabad and London. The VP is responsible for the Decision Engine and the Decision Intelligence Platform, manages the model lifecycle from development through backtesting, shadow running and staged rollout to production monitoring, and moves monitoring agents onto shared agentic infrastructure. The goal is lower fraud losses, more automated alert handling and a falling monitoring cost per member.
The ideal candidate has led engineering in areas such as fraud, financial crime, risk and other real-time decision systems, and has converted platform spending into measurable results. They have taken machine learning into production at scale, worked in regulated settings alongside second-line risk teams and regulators, and can lead distributed teams across several markets. Hands-on work putting AI or agentic systems into regulated processes, with governance, evaluation and people checking outputs, would count in your favour.
Responsibilities
- Define engineering direction for Tide's monitoring platforms covering fraud and financial crime
- Manage back end, front end, data science, machine learning and analytics engineering groups
- Build a bench of managers and senior engineers
- Hold ownership of the Decision Engine plus the Decision Intelligence Platform, shared across teams
- Own the model lifecycle from development through production performance monitoring
- Grow agentic AI use in controlled processes and maintain the governance framework
- Drive down fraud losses, raise how many alerts get automated, and cut cost per member
- Create an operating model that brings frontline operations, second-line risk, payments engineering and other functions onto a single plan
- Design for one global build, with market-specific rules kept apart
Requirements
- Experience running engineering in areas such as fraud and financial crime, plus risk and real-time decisioning
- Proof of converting platform spend into results in fraud detection, unit cost reduction and workflow automation
- Experience moving machine learning models from build to production at scale, and owning how they perform once live
- Experience in controlled settings, working with second-line risk, compliance and regulators
- Sound judgment on delivery, platform strategy, data architecture, org design and code quality
- Capacity to direct spread-out teams across several markets and get multiple functions behind a single plan
Qualifications
- Hands-on work bringing AI or agentic systems into controlled workflows, with governance, evaluation and human checks
Core Skills
Benefits
- Competitive pay and share options
- Annual leave on top of public holidays
- Maternity, paternity and adoption leave with pay
- Sabbatical options after milestone years
- Private family health insurance with outpatient cover and top-up options
- Life and accident cover, and mental wellbeing support
- Paid volunteering and development days, plus an annual learning budget
- Option to work overseas for up to 90 days each year
- A home office contribution, and the option to keep your old laptop when it is replaced
- Office snacks and meals, depending on location
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
The listing is tagged London. The posting says most engineering sits in Hyderabad, while product leaders are divided between Hyderabad and London, and that Tide supports a mix of office and remote work.
Who does the role report to?
The company's Chief Data and Technology Officer.
Is a salary stated?
No. The posting mentions competitive pay and share options but gives no figure.
What experience is needed?
Leading engineering across fraud and financial crime, plus risk and real-time decisioning, and putting machine learning into production at scale in regulated settings.
Sample Interview Questions
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