Applied Data Scientist - Fraud Prevention

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Applied Data Scientist - Fraud Prevention

Harnham - Data and Analytics Recruitment | City Of London, ENG, GB

Posted 11 days ago

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Description

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


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