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- Tasks: Lead the development of climate and nature risk models while collaborating with a talented team.
- Company: Join Risilience, a fast-growing company focused on environmental risk management and sustainability.
- Benefits: Enjoy a competitive salary, bonus, flexible working, and a commitment to diversity.
- Why this job: Make a real impact on climate change while working with top global brands like Nestlé and Burberry.
- Qualifications: Bachelor's degree in natural sciences or related field; experience in mathematical modeling and programming required.
- Other info: Risilience values diversity and encourages applications from all backgrounds.
The predicted salary is between 52000 - 68000 £ per year.
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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Lead Environmental Risk Modeller employer: Above & Beyond - Climate Tech Recruitment
Contact Detail:
Above & Beyond - Climate Tech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Environmental Risk Modeller
✨Tip Number 1
Familiarize yourself with the latest climate and nature-related datasets, such as CMIP6 and SSPs. Being able to discuss these datasets and their implications during your interview will demonstrate your expertise and commitment to the role.
✨Tip Number 2
Showcase your experience with scientific programming languages like Python, R, or MatLab. Prepare to discuss specific projects where you applied these skills to solve real-world problems, as this will highlight your technical capabilities.
✨Tip Number 3
Be ready to explain complex scientific concepts in simple terms. This skill is crucial for the role, so practice translating technical jargon into accessible language that can be understood by various audiences.
✨Tip Number 4
Research Risilience's current projects and clients, such as Nestlé and Burberry. Understanding their challenges and how your role can contribute to their sustainability goals will help you align your answers with the company's mission during the interview.
We think you need these skills to ace Lead Environmental Risk Modeller
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Lead Environmental Risk Modeller position. Tailor your application to highlight how your skills and experiences align with the specific needs outlined in the job description.
Highlight Relevant Experience: Focus on showcasing your demonstrable experience in mathematical modelling methods, scientific programming languages, and working with large climate datasets. Use specific examples from your past work that illustrate your ability to deliver environmental or sustainability-related projects.
Communicate Clearly: Since the role requires excellent communication skills, ensure that your application clearly conveys complex scientific concepts in an understandable way. Avoid jargon where possible and aim for clarity to demonstrate your ability to communicate effectively with diverse audiences.
Showcase Your Curiosity and Innovation: Risilience values curiosity and innovation. In your application, mention instances where you've tackled complex problems creatively or contributed to innovative solutions in your previous roles. This will help you stand out as a candidate who embodies the company's values.
How to prepare for a job interview at Above & Beyond - Climate Tech Recruitment
✨Understand the Company’s Mission
Before your interview, make sure you understand Risilience's mission to help businesses manage environmental risks and climate change. Familiarize yourself with their unique modelling and analytics platform, as well as their client base, to demonstrate your alignment with their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with mathematical modelling methods, scientific programming languages like Python, and your familiarity with large climate datasets. Highlight specific projects where you've applied these skills to real-world problems.
✨Communicate Complex Concepts Clearly
As a Lead Environmental Risk Modeller, you'll need to translate complex scientific concepts into actionable insights. Practice explaining your past work in simple terms, focusing on how your models have provided value to businesses or governments.
✨Demonstrate Collaborative Spirit
Risilience values collaboration and innovation. Be ready to share examples of how you've worked effectively within diverse teams, managed concurrent goals, and contributed to successful project outcomes in fast-paced environments.
