Applied Data Scientist – Fraud Prevention

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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.