Research Analyst

Role: Research Analyst

Location: London

Position: Full time, permanent

About The Job

What you'll spend your time doing:

• Lead projects to validate catastrophe models, including designing testing plans, undertaking scientific tests, producing required regulatory documentation, and communicating the results to both internal and external stakeholders.

• Assist the Head of Catastrophe Research on the development of MS Amlin’s View of Risk, including the development of model adjustments where required.

• Undertake innovative research projects to assist with MS Amlin’s understanding and management of catastrophe risk (e.g. climate change, counterfactual analysis).

• Produce catastrophe risk governance documentation and research briefings.

• Provide catastrophe risk, natural and man-made hazard expertise to internal stakeholders as required (e.g. underwriters, exposure management, catastrophe modellers).

• Represent MS Amlin at external events (e.g. conferences) and committees (e.g. Lighthill Risk Network), through participation in round tables, forums, and presentations.

• Follow the latest industry trends and new developments in natural hazards research.

• Contribute to event response efforts by delivering real-time insights, conducting loss assessments and coordinating across teams.

What you’ll need:

• Demonstrable research experience (PhD or similar) in a relevant field (e.g. meteorology, hydrology, seismology, vulnerability or similar).

• For this position we can consider PhD applicants with or without relevant work experience.

• Proficiency in oral and written communication, particularly the ability to communicate complex scientific ideas to a non-technical audience.

• Strong analytical and quantitative skills, including experience of working with large data sets and using programming packages such as R, Python and ArcGIS.

• Ability to think critically in order to form scientific and business judgements.

• Ability to manage projects and meet deadlines.

• Expertise in wildfire or flood risk is highly desirable.

• Prior experience of using and/or validating catastrophe models (e.g. Moody’s RMS, Verisk) is desirable.

• Prior experience of building natural hazard models in the insurance industry or academia is desirable.

You’re going to enjoy this job if you also…

• Enjoy independent research and problem solving

• Want to work with a market-leading analytics team

• Have an interest in coding (e.g. R, Python)

• Can explain complex scientific ideas in simple terms

About Ms Amlin