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Graduate Fraud Data Analyst

💼 Graduate Job


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Graduate Job



  • Fraud Data Analysts support the Fraud Analytics team and other key stake holders by creating and maintaining effective anti-fraud frameworks. They are responsible for carrying out a range of tasks including creating business rules, analysing data sources, network monitoring, and proactively suggesting process changes. Fraud Data Analysts need to be able to communicate confidently and clearly with our stakeholders and drive projects forward at all stages of development.


  • 2.1 or above in a Mathematical degree
  • If you do not have a Mathematics degree, we are open to other STEM disciplines, subject to demonstrating a solid numerical academic background, which is essential for this role
  • Essential skills:
  • Excellent communication skills
  • Possesses a “can-do” attitude and an ability to make things happen!
  • Strong attention to detail
  • Comfortable challenging processes and asking questions
  • Innovative and curious mindset
  • Confident independent worker
  • Desirable skills and experience:
  • Experience with large data sets in multiple formats
  • Ability to initiate and drive projects to completion with minimal guidance
  • A flair for solving problems using data
  • Knowledge of SAS, SQL, Python or other programming languages

Education requirements

2:1 or higher

Area of Responsibilities



  • Applying your analytical expertise to identify fraud detection and processing opportunities
  • Creating and maintaining bespoke portal frameworks and content for various departments in line with their business requirements
  • Using SAS, SQL, Python and other tools to analyse large data sets and in turn make valuable suggestions and contributions to the project
  • Working with department ‘Subject Matter Experts’ (SMEs) and Senior Managers to understand and solve problems by asking the right questions and delivering appropriate solutions
  • Informing, influencing and supporting new products and initiatives across the group
  • Remain up to date with trends and developments in the wider insurance fraud community, to ensure knowledge, skills and approaches remain current.


Work type

Full time

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