Fraud Data Analyst

London (Greater)
£38,000 plus excellent benefits
12 Nov 2017
18 Nov 2017
Contract Type
Full Time

Our client is a leading independent body in the insurance industry and they are looking for a Fraud Data Analyst

Role and Responsibilities

  • Accurately analysing fraud data trends and risk networks
  • Producing analytical reports and papers using inferences and recommendations to highlight and help combat key threats
  • Regular MI for customers, stakeholders and the wider teams at all levels
  • Assisting the Data Services Team in the effective performance, security, integrity and delivery of all core systems, including the customer portal, Insurance Fraud Register, NetReveal and Intelligence Database, with specific areas of responsibility, as allocated by the Head of Data Services
  • Administering relevant procedures to ensure strict compliance with data security and retention protocols
  • Analysing business MI and processes to identify and recommend progressive change, where appropriate
  • Creating and developing custom analytics work requests and change requests
  • Regularly attending and assisting with the management of, meetings with external suppliers and third party data providers
  • Delivering customer workshops, training days , events support and resolution of customer queries in line with SLAs, using a customer-focused approach
  • Developing user materials and guidance documents to assist with internal and external customer knowledge-sharing

The successful candidate will already have a level 5 of the Qualification Credit Framework

(QCF) which is equivalent to Certificate of Higher Education, Foundation Degree or Higher

National Diploma.

You should also have:

  • Experience of analysing large quantities of data to identify patterns, trends and anomalies, applying relevant context.
  • Expert knowledge in Excel and SQL
  • Proficience in the use of i2 Analyst Notebook, iBase and/or similar software
  • Experience of producing high quality analytics reports/summaries/briefings
  • Demonstrable track record of problem solving through analysis
  • Confidence in the preparation and delivery of presentations
  • Strong awareness and understanding of providing excellent customer service
  • Evidence of adapting analytical skills to changing roles, environments, etc.
  • Ability to work on own initiative and take responsibility for own work
  • Ability to produce clear and concise reports, drawing out key information
  • Working knowledge of analytics systems and associated processes needed to identify suspect patterns of activity in large data clusters