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 Responsibilities

• Develop and enhance fraud detection and fraud scoring models
• Design and implement identity verification and fraud prevention solutions
• Analyse fraud trends and deliver actionable business insights
• Introduce new data sources and features to improve model performance
• Collaborate with Product and Engineering to deploy production fraud models
• Drive measurable reductions in fraud through analytics and machine learning
• Support wider data science initiatives across decisioning and risk functions Key Details Salary: £55,000-£65,000 Working Model: Hybrid, 2 days per week in Central London office Tech Stack: Python, SQL, AWS SageMaker (desirable), Databricks (desirable) Visa Sponsorship: Cannot sponsor Interested? Please apply below.