Overview

Scientist – Loss Modelling (Physical Risk from Weather and Climate)

London – Hybrid

Up to £80,000

Responsibilities

• Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities.
• Calibrate and validate models using a wide range of qualitative and quantitative data sources.
• Contribute to building a robust and adaptable loss modelling framework.
• Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences.

What We’re Looking For

• Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils.
• Proficiency with geospatial data (climate and Earth observation) and economic damage datasets.
• Strong programming skills in Python, R, or a similar language.
• Excellent communication skills, able to explain complex concepts to non-technical audiences.
• A self-starter who thrives in a fast-paced R&D environment.
• Experience in catastrophe modelling, especially around exposure and vulnerability.
• Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory.
• Knowledge of machine learning applications in climate risk.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud).

If this role looks of interest, please apply below.

Please note - this role does not offer sponsorship.