
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading analytics firm is seeking a Senior Catastrophe Analyst in London to enhance catastrophe analytics capabilities and support strategic initiatives. This role requires experience with catastrophe modeling, proficiency in relevant tools, and strong communication skills. You will be involved in data manipulation, reporting, and developing customized analytical solutions for clients. The ideal candidate should have a background in catastrophe analytics and a keen eye for detail to drive improvements across workflows.
Position Title: Senior Catastrophe Analyst
Reports to: UK Catastrophe Analytics Lead
Location: London
The role will work with the existing analytics teams (UK and US actuarial as well as the US catastrophe function) to service broking teams and their clients across the UK, Bermuda and International functions.
There are no silos at BMS and analytics is looking to position itself as a global value-add service within the business operating across one platform.
The role will focus on catastrophe analytics, utilising industry standard tools (RMS Moody’s and Verisk platforms), building relationships and assessing non-standard tools (e.g. Fathom, KCC, Renew Risk) as well as using and supporting development of bespoke BMS tools to support BMS tools and practice to support (re)insurance placements from across multiple lines of business.
There will also be opportunities to get involved in data strategies at both function and group levels, playing a key role in driving automation and improving efficiency across aligned workflows. There will be a strong element of client facing, with the aim of catastrophe modelling analysts at BMS Re becoming consumers of cat analytics, not just producers.
This position supports the business by enhancing its catastrophe analytics capabilities, whilst also helping to shape strategic direction and support team growth. Key responsibilities will include, but are not limited to: