Applied Data Scientist - Fraud Prevention
APPLIED DATA SCIENTIST, FRAUD PREVENTION
£55,000 - £65,000 LONDON (HYBRID)
This is an exciting opportunity to join a growing FinTech with an innovative approach to lending. You'll play a key role in building and improving fraud prevention capabilities, working on high-impact machine learning projects that directly influence customer outcomes, risk strategy, and business performance.
THE COMPANY
Our client is a forward-thinking FinTech with a people-focused culture that prioritises teamwork and continuous development. Data is at the heart of their decision-making, and they are continuing to invest in advanced analytics to support growth and innovation. This role sits within a collaborative data science team where you will have the opportunity to make a tangible impact from day one.
THE ROLE
- Develop and deploy fraud detection, identity verification, and fraud scoring models
- Analyse large and complex datasets to identify fraud trends, risks, and opportunities
- Evaluate new data sources, machine learning techniques, and fraud prevention tools
- Build monitoring and reporting solutions to track model and fraud performance
- Collaborate with Product, Engineering, Risk, and Data teams to deliver business-critical initiatives
- Help shape the future direction of fraud analytics across the organisation
YOUR SKILLS AND EXPERIENCE
- Strong commercial experience in fraud analytics, fraud prevention, or financial crime
- Hands-on experience developing machine learning models using Python
- Strong SQL and data analysis capabilities
- Knowledge of statistical modelling and predictive analytics techniques
- Excellent communication skills with the ability to influence stakeholders
- Experience within fintech, lending, or financial services would be beneficial
SALARY AND BENEFITS
- £55,000 - £65,000 base salary depending on experience
- Annual bonus scheme
- Contributory pension
- Private healthcare
- Hybrid working model - 2 days in office
HOW TO APPLY
Please register your interest by sending your CV through the 'Apply' link.