Climate Risk Modeller - Senior (27147)

Our client seeks mathematical modellers, with a background in climate science, physical risk analysis or business consultancy to join their mission-driven team. Their software platform allows businesses to make practical and long-lasting changes to their manufacturing, logistics and strategy, enabling them to meet carbon-zero targets.

Using a range of modelling methods such as Markov Models, catastrophe modelling, corporate financial valuation and risk quantification, the team produce environmental analytics top companies rely upon. This position will focus on physical climate risks and potential impacts to business value chains. As a senior member of the team, you will be an effective communicator, able to shape the conversation and make compelling arguments backed by solid data analysis.

You will need:

• A good degree in a quantitative discipline, such as mathematics or natural sciences, from a well-respected university
• Demonstrable experience with Python for data analysis, combined with the ability to quickly source, organise, and present complex data in an understandable format
• The ability to rapidly comprehend information from a range of sources in order to create novel solutions to real-world problems
• Good knowledge of climate-science and comfortable using published climate models or datasets (eg IPCC reports and CMIP) as sources for analytics
• Knowledge or expertise in relevant topics related to climate change and nature risk, such as physical risk science, risk analysis, mathematical modelling, engineering or statistics
• Full rights to work in the UK without time limit or sponsorship

It would be great if you also have some of the following:

• Experience using and interpreting GIS data and packages
• Commercial consultancy experience, ideally involving regularly presenting to senior executives and business stake-holders
• Evidence of successful project management

It is a fast-paced, but supportive environment, offering hybrid working, competitive salaries and opportunities for advancement.

Keywords: Climate Risk, Modelling, Cambridge, Physical Risk, Python, Green Economy, Hybrid, Cambridge, Environmental analytics, Data Analysis, Data Science, Quantitative, Catastrophe Modelling

Interested? Send your CV to ECM Selection; whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at http://ecmselection.co.uk/tell-a-friend.