La Fosse
Lead Data Scientist – Fraud & Decisioning
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Lead Data Scientist – Fraud & Decisioning
London | Hybrid - 3 x days in office | Up to £120,000 + Equity
An exciting opportunity has arisen to join a high-growth fintech business at a pivotal stage of its journey, taking ownership of its fraud strategy and helping shape how it protects its customers and business as fraud becomes increasingly sophisticated.
This is a genuinely hands-on Data Science role, combining fraud analytics, machine learning, decisioning and technical problem-solving. You'll work collaboratively across the business to identify emerging threats, build solutions and strengthen the company's fraud defences.
The Role
You'll take ownership of the fraud agenda while remaining close to the technical detail.
You'll be expected to:
- Own and develop the company's fraud strategy and approach
- Analyse fraud trends, applications and individual cases to identify emerging risks
- Build and improve fraud detection and prevention solutions
- Write code and work directly with data and analysis
- Collaborate with a range of technical, product and business stakeholders
- Make rapid, data-driven decisions in response to emerging fraud activity
- Identify what needs to happen next and take ownership of delivering it
- Help shape the company's approach to AI and emerging technologies within fraud prevention
- Build relationships across the wider financial services and fraud community
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What We're Looking For
We're particularly interested in candidates from a Data Science, Fraud Analytics, Risk or Decisioning background who enjoy remaining close to the technical detail.
You'll ideally have:
- Strong experience in Data Science and Machine Learning
- Experience across fraud, risk, credit decisioning or financial crime
- Strong Python and SQL skills
- Experience analysing data and building practical solutions
- The ability to work collaboratively with technical and non-technical stakeholders
- Strong commercial judgement and the ability to make decisions quickly
- Experience working in a fast-paced fintech, banking, lending or financial services environment
- An interest in AI / agentic AI and how emerging technology will change the fraud landscape
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You don't need to have spent your entire career in fraud. We're particularly interested in technically strong Data Scientists who have applied their skills to fraud, risk or decisioning problems.
The Environment
This is a role for someone who enjoys pace, autonomy and execution.
You'll have significant ownership of the fraud agenda and the opportunity to shape how the business approaches fraud as it continues to scale.
What's On Offer
- Up to £120,000 salary
- Equity / share options for the right candidate
- Hybrid working with regular office presence
- Opportunity to take genuine ownership of a critical business function
- The chance to shape fraud strategy at a growing fintech
- Significant exposure to AI, automation and the future of fraud prevention
If you're a technically strong Data Scientist, Fraud Specialist or Risk professional looking for a role where you can combine hands-on technical work with genuine ownership and influence, I'd be keen to hear from you.
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