Lead Fraud Data Scientist

Harnham ,
London, Greater London
More Details
Job Type: Full-time
Salary: £60,000 per annum

Overview

Lead Fraud Data Scientist London Up to £85,000 Are you looking for an exciting new counter fraud challenge? A global technology company are looking for an experienced Fraud Data Scientist to join their payments fraud strategy. THE COMPANY One of the most innovative companies leading media technology. This company are founded in strong collaboration where no idea is impossible. Sitting in a brand new office in The City, they offer a creative and open environment working cross-functionally to deliver exceptional results. Fast paced, contemporary and inventive, this is a sought after tech company. THE ROLE As the Lead Fraud Data Scientist you will be responsible for developing machine learning models for the detection and prevention of fraud: Building advanced predictive fraud models to make advanced transactional decisions, identify customer behaviour patterns and detect the latest fraud trends Implementing machine learning systems Work closely with Product and Engineering teams to build brand new fraud solutions Optimise and enhance existing fraud models Provide business insights into the data to drive influence and decision making across the business Supporting the Head of Fraud with fraud strategy development Analysing over twenty different payment methods to come up with unique detection and prevention methods YOUR SKILLS & EXPERIENCE Advanced with SQL, Python or R Experience with Hadoop or Spark Ability to build predictive models around fraud and customer threat Knowledge of fraud systems such as Threatmetrix, Feedzai, BioCatch or similar Experience working in a similar position as a Data Scientist in fraud, financial crime or behavioural analytics Background in merchant or acquiring services E-commerce experience is highly advantageous BENEFITS Up to £85,000 Share options Bonus Health insurance including gym membership Company provided breakfast, lunch and drinks HOW TO APPLY Please register your interest by sending your CV to Rosalind Madge via the Apply link on this page

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