Catastrophe Modeller

Company: Davies Talent Solutions
Apply for the Catastrophe Modeller
Location: London
Job Description:

The Opportunity

An excellent opportunity has arisen for a Catastrophe Modeller to join a high-performing analytics team within a leading insurance and reinsurance environment. This role will suit an analytically minded professional with strong technical modelling capability and a genuine interest in catastrophe risk and portfolio analysis.

You will play a key role in delivering insight-driven modelling outputs to support brokers, clients, and reinsurers, while contributing to the continued development of innovative modelling solutions.

Key Responsibilities

  • Perform detailed catastrophe modelling analysis across client portfolios
  • Interpret and present modelling outputs to both technical and non-technical stakeholders
  • Support brokers with data-driven insights and scientific evidence
  • Present modelling assumptions, methodology, and results to clients and reinsurers
  • Translate business and broker requirements into practical modelling solutions
  • Manipulate, validate, and structure complex datasets for modelling purposes
  • Contribute to the development of new tools and approaches to enhance modelling capability
  • Stay up to date with latest developments in catastrophe modelling and analytics technology
  • Maintain and strengthen relationships with internal teams and external stakeholders

Who We Need

Technical Expertise

  • Strong experience with vendor catastrophe models (e.g. RMS Risk Modeller/RiskLink, AIR Touchstone)
  • Advanced Excel and SQL skills
  • Strong analytical capability and comfort working with large datasets
  • GIS and Python experience advantageous

Core Competencies

  • Strong communication and presentation skills
  • Ability to explain complex modelling outputs clearly
  • Highly organised with the ability to prioritise and manage multiple deadlines
  • Detail-oriented and methodical in approach
  • Collaborative team player with a proactive mindset

Posted: June 5th, 2026