Data Scientist
Location: London (Hybrid - 3 days on-site)
Salary: DOE (£70,000+) and benefits
The Role
We are seeking a technically strong Data Scientist to join a growing Fraud & Financial Crime team within a fast-scaling financial services environment.
This role is suited to someone who enjoys working at the intersection of analytics, fraud strategy, and data science, with the ability to take ownership of detection logic, models, and decisioning frameworks.
You will apply advanced analytics and modelling techniques to enhance financial crime detection, working closely with internal stakeholders and external vendors to deliver scalable, data-driven solutions.
This is a hands-on role with real impact, offering the opportunity to shape fraud and financial crime strategy while balancing risk, regulation, and customer experience.
Key Responsibilities
- Apply advanced analytics to improve financial crime detection and prevention strategies
- Develop, optimise, and maintain fraud / FinCrime detection rules and analytical frameworks
- Build and enhance predictive models to support risk-based decision making
- Support the launch of new products, ensuring appropriate fraud and financial crime controls are in place
- Collaborate with external vendors to assess and implement new tools and capabilities
- Work cross-functionally with Risk, Credit, Operations, and wider business teams
- Translate complex data insights into clear recommendations for technical and non-technical stakeholders
- Contribute to the use of AI and advanced analytics to improve efficiency and decisioning
Required Skills & Experience
- 5+ years' experience within banking / financial services / financial crime
- Strong SQL and Python skills, with hands-on experience in data analysis and modelling
- Experience developing and optimising fraud / financial crime detection rules
- Exposure to predictive modelling or a clear progression into data science
- Experience working in regulated environments with an understanding of risk and compliance frameworks
- Strong problem-solving skills with high attention to detail
- Track record of working cross-functionally and influencing stakeholders
Nice to Have
- Combination ofvendor + banking / financial services experience
- Experience applyingAI / machine learning within fraud or risk environments
- Exposure to fast-paced, high-growth or product-focused businesses
What's on Offer
- Salary from £70,000+ depending on experience
- Generous benefit package
- Hybrid working - London-based
- Opportunity to join a growing function with real influence on strategy
- High-impact role within a collaborative, data-driven environment
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