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- Develop models using novel techniques to assess risks from climate change and nature, translating complex scientific concepts into quantified financial impacts for businesses.
- Write Python code to integrate models into the company’s analytics platform.
- Build and analyse geospatial data layers to support risk modelling.
- Deliver actionable insights and analytics relevant to corporate decision-making.
- Act as a subject matter expert on nature and climate-related risks and opportunities.
- Collaborate with internal teams and clients, requiring a minimum of three days per week in the Cambridge office.
- A Bachelor’s degree in natural sciences, physics, engineering, or a related field.
- Experience delivering environmental or sustainability-related projects to corporate clients.
- Strong knowledge of mathematical modelling, including statistics, geospatial analysis, and probability, with practical applications to real-world problems.
- Proficiency in Python (preferred), R, or MATLAB for scientific programming.
- Experience working with large geospatial and environmental datasets (e.g., CMIP6, SSPs, or nature data layers).
- Strong research skills with the ability to translate data into actionable models and insights.
- Excellent communication skills, with the ability to present complex scientific concepts to non-technical audiences.
- Ability to work effectively in a fast-paced environment, managing multiple projects while collaborating with a diverse team of scientists and engineers.
- Postdoctoral research experience in a relevant field.
- Experience in model development (e.g., natural catastrophe modelling, risk quantification).
- Cross-disciplinary expertise in areas such as natural sciences, agronomy, or environmental economics.
- Experience quantifying the economic impact of climate and nature-related risks to inform business or government decision-making.
- Be part of a rapidly growing organisation at the forefront of climate and environmental risk modelling.
- Work on high-impact projects with leading global corporations.
- Collaborate with a highly skilled team of scientists, engineers, and industry experts.
- Competitive salary and opportunities for career progression.
