Graduate Cat Modelling Analyst

Bolton Associates

Greater London

On-site

GBP 32,000 - 52,000

Full time

14 days+
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Job summary

London Market Company is seeking an ambitious Graduate Catastrophe Modelling Analyst to join its Exposure Management team. This is an excellent opportunity to develop a career in catastrophe modelling, working closely with experienced professionals across underwriting, actuarial and exposure management.

You will support the Cat Manager with the end-to-end catastrophe modelling process, including exposure capture, pre-underwriting analytics, portfolio roll-ups, aggregation, monitoring and

Qualifications

  • Numerate STEM degree required.
  • Strong analytical and problem-solving skills.
  • Advanced Excel and strong communication abilities.
  • Knowledge of catastrophe modelling, Verisk Touchstone, SQL and Power BI or programming languages (Python/R/VBA) is advantageous; training will be provided.

Responsibilities

  • Support the Cat Manager with end-to-end catastrophe modelling: exposure capture, pre-underwriting analytics, portfolio roll-ups, aggregation, monitoring and reporting.
  • Contribute to workflow improvements and automation projects and help develop the team’s catastrophe modelling capabilities.

Skills

Advanced Excel
Cat modelling knowledge
Verisk Touchstone
SQL
Python
R
VBA
Communication skills

Education

Numerate STEM degree

Tools

Power BI

Job description

London Market Company is seeking an ambitious Graduate Catastrophe Modelling Analyst to join its Exposure Management team. This is an excellent opportunity to develop a career in catastrophe modelling, working closely with experienced professionals across underwriting, actuarial and exposure management.

You will support the Cat Manager with the end-to-end catastrophe modelling process, including exposure capture, pre-underwriting analytics, portfolio roll‑ups, aggregation, monitoring and reporting across multiple territories. The role also offers the opportunity to contribute to workflow improvements, automation projects and the ongoing development of the team's catastrophe modelling capabilities using Verisk models and internal systems.

Candidates should have a numerate degree in a STEM related discipline, together with a genuine interest in insurance, reinsurance and natural catastrophe risk. Strong analytical and problem‑solving skills are essential along with advanced Excel skills and excellent communication abilities. Knowledge of catastrophe modelling, Verisk Touchstone, SQL and Power BI or programming languages such as Python, R or VBA would be advantageous, although full training will be provided for the right individual.

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