drjobs Portfolio Optimisation Lead

Portfolio Optimisation Lead

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1 Vacancy
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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Responsibilities

  • Performance and portfolio management: Work closely with the CUO Head of Pricing and Senior Underwriters to analyse and optimse the performance of Specialty Property and Specialty Casualty portfolios
  • Data analysis and reporting: Utilise advanced analytics to drive improved underwriting performance insight identify trends and propose actions. Regularly report findings and recommendations to senior management
  • To coordinate monthly CIPs Class Insight Pods with multiple stakeholders for each line of business drive discussions inform strategy and foster culture of continuous portfolio improvement
  • Lead business planning exercise to formulate loss ratios and reinsurance assumptions that to support of the annual business plans
  • Support reinsurance function by leading analysis into alternative structures and adequacy of reinsurance placements by working closely with Capital modelling team. Coordinate with RI technical support and reinsurance brokers to provide data analysis and insights to support the reinsurance purchasing process.

Qualifications

  • Market knowledge: Indepth understanding of insurance and reinsurance principles particularly within the Lloyds and London markets
  • Market trends:Awareness of current market trends emerging risks and industry best practices within the Lloyds market
  • Communication:Excellent communication skills to effectively convey complex actuarial and financial concepts to nontechnical stakeholders. Able to establish credibility with senior underwriters and act as a central conduit across multiple functions
  • Project management:Strong project management skills to handle multiple tasks prioritize workloads and meet deadlines
  • Analytical skills:Exceptional analytical and quantitative skills to interpret complex data and develop robust portfolio models
  • Data science:Beneficial to have experience in applying data science techniques in an insurance setting
  • Problemsolving:Strong problemsolving abilities to identify issues develop solutions and implement strategies to optimize portfolio performance
  • Financial acumen: clear understanding of an insurance P&L and what drives performance

Employment Type

Unclear

Company Industry

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