Catastrophe Modeller: Advanced Analytics & Client Insight

Willis Re; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A prominent risk transfer solutions provider in Greater London is looking for a Catastrophe Modeller. This role blends hands-on modelling with strategic initiatives, collaborating with senior brokers and analytics colleagues. Key responsibilities include delivering modelling analysis, creating broking packs, ensuring quality assurance, and presenting insights. An ideal candidate will have experience in catastrophe modelling, strong Excel and SQL skills, and the ability to communicate effectively with non-technical audiences. This full-time position offers a chance to contribute to a cutting-edge analytics capability.

Qualifications

• Experience in catastrophe modelling at a reinsurer, insurer, broker, or vendor.
• Familiarity with at least one vendor model (RMS or Verisk).
• Strong Excel and data manipulation skills; SQL knowledge essential.
• Ability to communicate technical work clearly to non-technical audiences.

Responsibilities

• Deliver catastrophe modelling analysis to support reinsurance placements.
• Collaborate with senior analytics and broking stakeholders.
• Assist in the creation of catastrophe broking packs.
• Present model outputs and risk insights to clients and stakeholders.

Skills

Catastrophe modelling

Excel and data manipulation

SQL knowledge

Technical communication

Collaborative working

Tools

RMS

Verisk

Python

R

GIS

Job description

A prominent risk transfer solutions provider in Greater London is looking for a Catastrophe Modeller. This role blends hands-on modelling with strategic initiatives, collaborating with senior brokers and analytics colleagues. Key responsibilities include delivering modelling analysis, creating broking packs, ensuring quality assurance, and presenting insights. An ideal candidate will have experience in catastrophe modelling, strong Excel and SQL skills, and the ability to communicate effectively with non-technical audiences. This full-time position offers a chance to contribute to a cutting-edge analytics capability.