Catastrophe Exposure Data Analyst

Insight Select

Greater London

On-site

GBP 50,000 - 70,000

Full time

14 days+

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Benefits offered by this job

Gain exposure to senior stakeholders
Collaborative team environment
Development opportunities in London Market

Job summary

Insight Select is looking for an experienced Exposure Data Analyst / Quantitative Exposure Analyst to join a growing Exposure Management function in London. The successful candidate will play a key role in developing tools for analytics and catastrophe risk management.

This role involves working with modern technologies, automation, and advanced risk analytics, making it suitable for individuals who thrive on solving complex problems. The ideal candidate should have strong programming skills in Python and SQL.

Qualifications

  • Experience in data-focused analytical roles within the insurance market.
  • Proficiency in working with large datasets and automation processes.
  • Strong problem-solving skills and ability to communicate complex findings.

Responsibilities

  • Develop and enhance analytical tools for monitoring catastrophe exposure.
  • Build automated data pipelines to improve efficiency.
  • Support portfolio analytics and catastrophe exposure forecasts.
  • Create dashboards and visualisation tools using Power BI.
  • Collaborate with teams to deliver meaningful exposure insights.

Skills

Python
SQL
Data analysis
Process automation
Geospatial data
Catastrophe modelling
Dashboarding tools

Tools

Power BI
Databricks

Job description

Insight Select is looking for an experienced Exposure Data Analyst / Quantitative Exposure Analyst to join a growing Exposure Management function in London. The successful candidate will play a key role in developing tools for analytics and catastrophe risk management.

This role involves working with modern technologies, automation, and advanced risk analytics, making it suitable for individuals who thrive on solving complex problems. The ideal candidate should have strong programming skills in Python and SQL.

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