Underwriting Data Analyst - City of London, United Kingdom - Massenhove Recruitment

Tom O´Connor

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Tom O´Connor

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Description

The role:


Ensuring the efficient and effective administration of technical information for the Liability team, supporting Underwriters by processing data into various underwriting systems, spreadsheets and databases, and to work with the developers of underwritingsystems on behalf of the UK Liability Team to continuously improve the efficiency and quality of output of such systems.


Developing and taking full ownership of reports, the reporting process and management information with which provide to the Director of Liability for the purpose of internal and external reporting.


Role responsibilities:

To ensure that all underwriting data is recorded promptly and accurately within the requisite underwriting systems/file, including:

  • Ensuring data to be entered is complete and accurate, by liaison with underwriter; brokers; TPA's; other offices etc as required
  • Data entry of underwriting forms/documentation including, policy creation, new business premiums, renewal premiums, endorsements, taxes, other deductions, etc
  • Reviewing data quality as required and ensuring any errors or omissions are corrected promptly, liaising with underwriter, credit control & other teams as appropriate
  • Maintaining accurate paper and electronic records for auditing and regulatory purposes.
To produce management information and analysis of data to support the team, including both regular and ad hoc reports.


To adhere to the agreed technical accounting processes for premium allocation, exchange rate agreement, tax allocations and, in conjunction with Client Services Team, review existing processes regularly and challenge the status quo.

To proactively participate in projects or other initiatives designed to improve the effectiveness or efficiency of the department.

To undertake any other tasks as requested by the Director, in order that the team achieve its objectives.

To leverage advanced technical skills in Excel to develop higher quality and more efficient processes and reports.


Skills required:


  • Degree in (business) statistics, accounting or data science or comparable training.
  • Advanced understanding of Excel and Word.
  • Strong analytical and problemsolving ability.
  • Ideally experience or a background in MI Analytics.
  • Effective communication, interpersonal and presentation skills, with a keen attention to detail.
  • Enthusiastic, ambitious, proactive, selfmotivated individual.
  • Looking for a new challenge where they develop and continually improve our product and drive it forward.
  • Process Driven.

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