Senior Risk Modeller

2 weeks ago


Cambridge Cambridgeshire, United Kingdom Four Squared Recruitment Ltd Full time

Senior Physical Climate Risk Modeller
£Cambridge/hybrid
you will be joining a business who are using their product to assist some of the biggest global brands in their pathway to become Net Zero.
We are looking for a Senior Risk Modeller to join our client’s mission of assisting businesses in managing their exposure and response to the dual nature-climate crisis – the two biggest systemic threats facing the economy.
The outcomes of their models aid corporations in assessing and navigating the risks and opportunities presented by the transition to a low-carbon, nature-positive economy.
Their software platform, along with our advisory services, supports companies in producing climate- and nature-related analytics to navigate their pathway to net zero and sustainable business practices.
An unparalleled climate-tech platform, counting numerous international well known brands and companies as clients.
Excellent benefits, including bonus scheme and private medical insurance.
The opportunity to be part of something meaningful in the race to net zero.
Part of the environmental analytics team based in our Cambridge office.
Flexible/hybrid working options available, although the majority of time will be spent in the Cambridge office.
Responsibilities include assisting in the development and maintenance of environmental and risk models.
Focus on physical climate risk modelling and developing new models and methods.
Senior role involving handling complex datasets, conducting analytics, and building rigorous models.
Work involves quantifying the probability, consequences, and financial impacts of nature and climate risk scenarios.
Collaborate with clients on consulting projects and present advanced modelling results directly to them.
Work alongside a skilled team of modellers, economists, data scientists, and software engineers.
Bachelor's or higher degree in natural sciences, mathematics, physics, or a related quantitative discipline.
Expertise in relevant physical scientific topics related to climate change and/or catastrophe risk, or quantitative modelling.
Demonstrated experience with a programming language such as Python (preferred) or another language.
experience applying data science to real-world problems.
An interest in climate change and/or nature risks and how these may impact business.


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