Data Fraud Analyst

  • Location: London
  • Salary: £45,000 - £65,000 pa
  • Type: Permanent
  • Job reference: 21059

The Data Fraud Analyst will lead the analytical arm of the fraud prevention department within a global ride sharing app. The aim to minimise losses and customer friction and maximising acceptance rate.

  • Analyse users, rides and payments data to find fraud patterns and anomalies.
  • Analyse payments with the various acquirers and route transactions accordingly to maximise acceptance rates at the minimum cost.
  • Suggest and implement new measures to counter fraud: tools, rules, procedures, fraud rings detection, analysis etc.
  • Serve as focal point for all fraud and payments reporting and analysis matters.
  • Analyse user journey around payments and fraud to ensure minimum friction to the customer and minimum drop-off.
  • Work closely with the global fraud operations manager and transaction monitoring team.
  • Accountable for meeting fraud and payments KPIs.
  • Work with collaboration with other departments and units to solve fraud, payments service concerns to the best outcome for the business.

 Additional Requirements

  • 3 years minimum of working in a Fraud team
  • Strong analytical skills and data-driven thinking
  • Strong SQL knowledge.
  • Experience in building statistical models.
  • Experience in finance / payments/ Fraud.
  • Ability to perform under pressure in fast pace changing environment. Flexible thinking and ability to adjust and find solutions.
  • Ability to work under tight deadlines.
  • Ability to manage and prioritize people and tasks
  • Strong stakeholder management skills
  • Experience in building machine learning models - advantage.
  • Experience in the ‘on-demand’ online industry – advantage.

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