Risilience is seeking to employ a Lead Environmental Risk Modeller to join us in our mission to help businesses manage environmental risks and climate change – the two biggest systemic threats facing the environment, the economy and society.
We have developed a unique modelling and analytics platform, founded on more than a decade of influential frameworks pioneered by Risilience’s founders at the Centre for Risk Studies at the University of Cambridge Judge Business School, to help international corporations assess and navigate the risks and opportunities presented by the transition to a low-carbon, nature-positive economy.
Our SaaS solutions help companies produce climate- and nature-related analytics to navigate their pathway to net zero and more sustainable business practices, through science-based cost benefit comparisons of environmental impacts and emission reduction strategies versus their risks.
The Risilience client base comprises a growing list of globally recognized brands, including Nestlé, Burberry and Reckitt. The pedigree of our solutions is supported by our deep academic and science-based roots and the close ties we maintain to the Cambridge Centre for Risk Studies.
Our business is now three years old, having received Series B funding at the start of 2023. Benefits include competitive basic salary, bonus, pension, flexible working, and a commitment to staff diversity.
In this role you will be expected to:
* Drive the technical areas of the model development agenda for assessing the physical risks from climate change and nature.
* Build and analyze geospatial data layers.
* Develop models using novel techniques to assess risks from climate change and nature, distilling these complex scientific concepts into quantified climate and nature-related financial impacts relevant to business.
* Scope model development plans that are actionable and communicate strategic project aims and operational objectives, including project planning and resource requirements.
* Deliver compelling analytics and insights that are business relevant.
* Act as point of contact for nature and climate related risks and opportunities.
Minimum Qualifications:
* Bachelor’s degree in natural sciences, physics, engineering or equivalent.
* In-depth knowledge of mathematical modelling methods such as, statistics, geo-spatial analysis, probability and their application to real world problems.
* Proficiency with scientific programming languages such as Python (preferred), R and MatLab.
* Experience using relevant large climate and environmental datasets, for example CMIP6, SSPs and/or nature data layers.
* Ability to research complex topics and determine creative ways to turn information and data into models and actionable insights.
* Excellent communicator with the ability to translate complex scientific concepts to various audiences.
* Ability to work effectively in a fast-paced environment, manage concurrent goals, and work closely with a diverse team of scientists and engineers.
* Delivery of environmental or sustainability-related projects to the corporate sector.
* Postdoctoral research experience in a relevant field.
* Relevant experience in model development (e.g. natural catastrophe modelling, risk quantification).
* Manipulation, analysis and visualization of geospatial datasets.
* Knowledge and expertise across different domain areas, for example in natural sciences, agronomy, or environmental economics.
* Experience quantifying the economic impact of climate and nature related risks to help businesses or governments enable decision making.
* Experience working across different project management processes including waterfall and agile development frameworks.
Diversity and Inclusion
Risilience is committed to a proactive approach to equality, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity.
Information if you have a Disability
Risilience welcomes applications from individuals with disabilities and is committed to ensuring fair treatment throughout the recruitment process.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Consulting, Information Technology, and Project Management
Industries
Climate Data and Analytics and Climate Technology Product Manufacturing
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