Environmental Risk Modeller Location: Cambridge, Cambridgeshire (Hybrid)
Salary: 60-85k
Job Type: Full-time, Permanent
About the Role We are seeking a quantitative modeller to support the development of climate physical risk and nature modelling efforts for an innovative and fast-growing organisation. The successful candidate will be responsible for quantifying the impacts and dependencies of businesses on climate and nature, working alongside a talented team of modellers, economists, data scientists, and software engineers.
This is an exciting opportunity for an ambitious individual looking to work on cutting-edge analytics with some of the world’s largest and most forward-thinking corporations.

Key Responsibilities
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. Essential Skills & Experience
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. Desirable Skills
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. Why Join?
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