Underwriting Portfolio Analyst Job In London

Underwriting Portfolio Analyst - Edenbrook
  • London, City of London, United Kingdom
  • via JobLookUp...
-
Job Description

We are currently working with one of the world’s leading Insurance companies to recruit an Underwriting Portfolio Analyst. The successful individual will be working within the Portfolio Management team to monitor and manager the underwriting performance of the Consumer Lines insurance accounts.



Find out if this opportunity is a good fit by reading all of the information that follows below.

Responsibilities will include but are not limited to;


  • Monitor the underwriting performance with the aim of protecting the profitability of the portfolio.
  • Enhance data usage and MI availability to support the decision-making process and drive sustainable portfolios' growth.
  • Co-ordinate and build collaborative relationships within the business unit to enable the business to effectively manage the performance of the clients across the region, liaising with Actuarial, underwriting and claims.
  • Proactively identify and implement initiatives that positively impact the business unit from a growth and profitability perspective.
  • Provide comprehensive analytical support to help improve the business’ understanding of performance, including the use of SAS, Dataiku and Power BI. Use initiative to recommend solutions to complex problems and/or new ways of undertaking tasks.
  • Help to develop predictive account models, recommend improvements, and provide support to team in their creation.
  • Create plans and forecasts, closely working with finance team to ensure premium is monitored and production variances understood.


The ideal candidate should have;


  • Proven experience with managing large datasets working for an insurance company.
  • The ability to handle data through relevant tools and ability to think logically and to work in a fast-paced team.
  • Degree qualified preferably in numerical or science subjects
  • Knowledge of SAS, Dataiku & Power BI.

;