Lead Catastrophe Risk Modeler

FinPro. is looking for a Lead Catastrophe Risk Modeler

Job description

Lead Catastrophe Risk Modeler


US Property MGA | High Growth | Data Led Underwriting Platform

We’re partnering with a fast scaling, tech enabled US Property MGA backed by a leading global insurance platform.


They write a very successful property book across homeowners, flood, wildfire, and earthquake, and are building a data first underwriting engine designed to outperform traditional market approaches.


This is not a traditional modelling role.

This is about owning how catastrophe risk translates into underwriting decisions and portfolio performance.


The Opportunity


You’ll sit at the centre of underwriting, pricing, and analytics, working directly with the CUO, underwriting leads, and engineering teams.


The focus is simple

use data, models, and new sources of insight to drive better underwriting outcomes.


What You’ll Own


• Lead catastrophe risk modelling across a multi peril US property book

• Translate CAT model outputs into underwriting and pricing decisions

• Monitor and optimise portfolio performance, exposure, and loss ratios

• Partner with underwriting to shape risk selection and appetite

• Evaluate and integrate new data sources into modelling frameworks

• Work closely with engineering and data teams to support API based underwriting

• Support capacity strategy including reinsurance and capital optimisation

• Continuously refine models based on real world performance and feedback loops


What This Role Is


• A commercial, data led role influencing how a high performing property book is built and scaled

• A position that sits between modelling, underwriting, and portfolio strategy

• An opportunity to move beyond pure modelling into real business impact


Candidate Profile


• Background in catastrophe modelling, actuarial, or pricing

• Strong exposure to US property risks including wildfire, flood, earthquake, and wind

• Ability to connect modelling outputs to real underwriting decisions

• Comfortable operating in fast moving, ambiguous environments

• Strong communicator who can influence underwriting and leadership teams


Leadership and Team


• Works alongside a high calibre team of underwriters, actuaries, and data scientists

• Reports into senior underwriting leadership within a CUO structure

• Acts as a key voice in portfolio strategy and performance discussions


Why Join


• Real ownership of portfolio performance rather than purely modelling outputs

• Opportunity to shape a modern API driven underwriting platform

• Backed by established insurance capital with the agility of an MGA

• Small, high quality team with strong technical depth

• Direct impact on growth, loss ratio, and underwriting strategy

Extra information

Status
Open
Education Level
Secondary School
Location
United Kingdom
Type of Contract
Full-time jobs
Published at
03-04-2026
Full UK/EU driving license preferred
No
Car Preferred
No
Must be eligible to work in the EU
No
Cover Letter Required
No
Languages
English

Full-time jobs | Secondary School

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