Graduate Opportunity

Fraud Data Analyst

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Fraud Analytics is looking for an enthusiastic and collaborative individual to join our team. Working in the area of fraud detection you will have the opportunity to present and share ideas, use new software and support Admiral’s work to keep ahead of the curve in its fraud prevention efforts. You’ll use your knowledge and our technology to combat fraud by suggesting new ideas and by analysing existing processes.

This role would suit logically minded people that are comfortable with numbers, keen to learn and have experience using SAS/SQL. This role requires an element of independent working, so the ability to communicate results effectively to technical and non-technical audiences is key.

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About the team

Fraud Analytics is a small, data focused team comprising of Fraud Data Analysts and Fraud Investigators. Our team looks to unearth value from both in house and external data sets by cooperatively finding correlations in customer behavior and fraudulent activity. We update and maintain Admiral’s core fraud applications and cooperate with stake holders to manage and improve fraud detection rates. We are a growing team that are enthusiastic about the work we do and love nothing more than to catch a fraudster!

Job Purpose

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, evaluating data sources, network monitoring, and proactively suggesting process changes. Fraud Data Analysts need to be able to collaborate and clearly communicate with our stakeholders to drive projects forward at all stages of development.

Main Duties

  • Apply your analytical expertise to identify fraud detection and processing opportunities
  • Create and maintain bespoke portal frameworks and content for various departments in line with their business requirements
  • Use SAS, SQL, Python and other tools to analyse large data sets and in turn make valuable suggestions and contributions to the project
  • Work with department ‘Subject Matter Experts’ (SMEs) and Senior Managers to understand and solve problems by asking the right questions and delivering appropriate solutions
  • Inform, influence and support 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.

Essential skills

  • Knowledge of SAS, SQL, Python or other programming languages
  • Excellent interpersonal 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
  • Happy to work by yourself and get things done.

Desirable skills and experience

  • Experience with large data sets in multiple formats
  • Experience in a fraud related role
  • Ability to initiate and drive projects to completion with minimal guidance
  • A flair for solving problems using data
  • Experience in a previous analytical role.


How to Apply

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Opportunity Overview

  • April 26th, 2019
  • Competitive + benefits
  • All grades
  • Cardiff
    (Show map)

Disciplines accepted...

  • All STEM disciplines

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