Role details

Insurance Data Analyst

London   •   £60,000 - £90,000   •  Permanent

Bullet points

  • Have you got experience working with Solvency II?
  • Experience creating and developing new insurance reporting systems is key

About Our Client

A globally recogonsied Bank based in London that have established a new Insurance Analytics team as an Insurance Data Analyst

Job Description

The successful candidate will work alongside a team of analysts, as well as colleagues throughout the business. The key aspects of the role will be:

  • Work closely with supervision colleagues in both life and non-life to understand their available data and thus deliver smart MI, including narrative.
  • Develop new analysis of the new Solvency II industry data and present it in ways that the Insurance SMT benefits most from the data, including assessing the level and quality of capital and the level of liquidity.
  • Create a new and quality Management Information strategy that enables new insights and analysis based on quantitative information.
  • Produce market reports on the insurance industry
  • Report persuasively and succinctly on findings and judgements to senior colleagues both orally and in formal written reports.

The Successful Applicant

  • Insurance and regulatory knowledge, specifically Solvency II - a good general understanding of insurance and the regulatory environment and a willingness to learn.
  • Experience of previously developing and delivering new Insurance reporting systems will be extremely beneficial for this role.
  • Strong analytical skills including the ability to analyse, summarise and convey complex information and excellent attention to detail.
  • Strong quantitative background with knowledge of best practice data management and management information tools.
  • Experience of the insurance market from holistic perspective
  • Experience working in financial services

What's on Offer

The chance to work in a new Insurance team as an Insurance data analyst for a Bank based in London

Apply for this job

Click the Apply or LinkedIn button below or contact Shay Quinn on +44 207 645 1447 quoting job reference 13710996
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