Data Scientist, Fraud - Alternative Credit FinTech

Want to own fraud analytics in a growing FinTech?Interested in building fraud models that directly influence customer decisions?Looking for a role with real ownership, visibility, and impact?A high-growth UK FinTech is hiring a Data Scientist to help shape the future of its fraud capability. The business has built a unique lending model that provides customers with a more predictable and accessible way to borrow, while also supporting financial education initiatives across the UK. With around 100 employees and a collaborative culture, this is an opportunity to join a business where your work will be highly visible and commercially impactful. You'll work closely with underwriting, product, engineering and leadership teams to improve fraud prevention and decisioning.This Data Scientist position focuses on fraud analytics, fraud modelling and fraud prevention across the full customer lifecycle. The role offers significant ownership, exposure to production systems and the opportunity to influence how the business detects and prevents fraud at scale.Key ResponsibilitiesDevelop and enhance fraud detection and fraud scoring modelsDesign and implement identity verification and fraud prevention solutionsAnalyse fraud trends and deliver actionable business insightsIntroduce new data sources and features to improve model performanceCollaborate with Product and Engineering to deploy production fraud modelsDrive measurable reductions in fraud through analytics and machine learningSupport wider data science initiatives across decisioning and risk functionsKey DetailsSalary: £55,000-£65,000Working Model: Hybrid, 2 days per week in Central London officeTech Stack: Python, SQL, AWS SageMaker (desirable), Databricks (desirable)Visa Sponsorship: Cannot sponsorInterested? Please apply below.