Job Description
An exceptional opportunity for a Catastrophe Research Analyst to join a leading Insurance company in Central London.
About the Role
Catastrophe Research Analyst to join the Corporate Enterprise Risk Management team. In this role, you will review catastrophe models licensed by proprietary View of Risk. This includes analysing a variety of global peril regions and staying up to date with the latest scientific research.
Additional responsibilities include reviewing non-modeled perils, back-testing historical event claims, and developing tools and processes in collaboration with the wider team.
The Team
The Catastrophe R&D team consists of analysts with expertise in natural hazards, engineering, catastrophe risk and insurance risk modelling. The team is responsible for creating a view of catastrophe risk and is part of the Corporate Exposure Management function.
Key Responsibilities
* Evaluate Catastrophe models (e.g., Verisk), including designing model tests, reviewing vendor/broker evaluation documents and making recommendations for model adjustments.
* Support development of the View of Risk by collaborating with catastrophe modelling, actuarial, claims, and underwriting teams.
* Create custom tools for non-modeled or poorly modeled risks and develop novel techniques for model evaluation, including GIS and other analytical tools.
* Identify potential large-loss scenarios and assess emerging risks.
* Ensure compliance with all relevant regulatory requirements and demonstrate behaviors aligned with our company values, including integrity and customer focus.
Skills and Experience
* Graduate degree in geosciences, atmospheric science, mathematics, engineering or related fields.
* Experience with catastrophe modelling .
* Strong knowledge of at least one catastrophe model suite (e.g., RMS, Verisk) or experience in model development.
* Solid understanding of insurance concepts and exposure management processes.
* Proficiency in data mining and handling large datasets.
* Data analysis experience (e.g., R, Python, SQL).
* Strong statistical and quantitative modelling skills with excellent communication abilities.
* Experience with GIS software or geospatial data analysis preferred.
The Package
* Salary up to £55,000
* 10% Annual Bonus
* Generous Pension scheme