KTP Associate in Wind Hazad Modelling

You will work collaboratively with Lloyds Banking Group General Insurance Limited and the University of Leeds' School of Earth, Environment and Sustainability to lead the transformation of how Lloyds Banking Group understands and manages UK windstorm risk by embedding cutting-edge climate science, machine learning, and advanced hazard modelling into its insurance operations.

The vision of this project is to advance the science of climate and weather risk through next-generation approaches to UK windstorm assessment, generating insights that extend beyond academia to deliver tangible benefits for customers, insurers, and society. In doing so, the project will help strengthen Lloyds Banking Group General Insurance's ability to respond to increasingly severe weather and climate risks, supporting long-term resilience and a more sustainable future.

As extreme weather events become more frequent and severe, the need to understand and manage climate-related risk has never been greater. By protecting more than 2.5 million UK households, Lloyds Banking Group plays a critical role in helping society withstand and recover from these events.

As the KTP Associate, you will play a central role in delivering this strategically important project. Working closely with industry specialists and leading academics, you will lead the development and implementation of innovative climate risk and hazard modelling approaches, integrating advanced scientific and machine learning methodologies into operational insurance decision-making.

You will be primarily based within Lloyds Banking Group's Leeds offices, fully embedded within the organisation, while also benefiting from access to the University of Leeds' world-class facilities, resources, and academic expertise, located only 1 mile away.

Requirements:
- A PhD in Atmospheric Science, Climate Science, Fluid Dynamics, or a related field
- Interest in the translation of hazard modelling research into commercial operations
- Experience or strong interest in climate and weather risk modelling
- Ability to integrate advanced scientific and machine learning methodologies

This is a Knowledge Transfer Partnership (KTP) opportunity, offering a unique chance to accelerate your career at the interface of world-leading academic research and real-world commercial application within one of the UK's leading research-intensive universities.

This post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For research and academic posts, eligibility under the Global Talent visa will also be considered.