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- Tasks: Lead the development of innovative models to assess climate and nature risks.
- Company: Join a rapidly expanding company with ties to the University of Cambridge.
- Benefits: Enjoy a competitive salary of £85,000 plus bonuses and benefits.
- Why this job: Make a significant impact on the planet while working with experts in the field.
- Qualifications: In-depth knowledge of mathematical modeling and proficiency in Python required.
- Other info: This role offers the chance to work with major corporations on climate analytics.
The predicted salary is between 51000 - 85000 £ per year.
It\’s a great opportunity for an ambitious Environmental Risk Modeller to join a rapidly expanding company and to work on innovative and leading analytics. You will have the opportunity to work with some of the largest and most ambitious corporations. and you colleagues will be experts in their field.
With ties to the University of Cambridge our client has developed a unique platform that supports organisations as they move to Net Zero. They help client produce climate and nature related analytics to enable them to make the move. This is an organisation filled with talented individuals looking to have a significant impact on the planet.
The Lead Environmental Risk Modeller will be responsible for determining the technical direction of our models and providing innovative solutions to quantify a company\’s impacts and dependencies on climate and nature. In this role you\’ll work alongside our talented team of modellers, economists, data scientists, and software engineers, as well as the wider company and client base.
In this role you will be expected to:
- Drive the technical areas of the model development agenda for assessing the physical risks of climate change and nature.
- Build and analyse 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 that are 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 relevant to business.
We\’re looking for a senior quantitative modeller to lead the development of nature and climate modelling efforts. The successful candidate will have:
- In depth knowledge of mathematical modelling methods
- Proficiency with Scientific programming languages such as Python
- Experience of using relevant large climate and environmental datasets
- The ability to research complex topics and turn data in to actionable insights
£85,000 plus bonus and benefits
EA First Ltd are acting as an Employment Agency for this permanent vacancy.
Environmental Risk Modeller employer: EA First
Contact Detail:
EA First Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Risk Modeller
✨Tip Number 1
Familiarize yourself with the latest trends in environmental risk modelling and climate analytics. This will not only help you understand the technical requirements of the role but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Network with professionals in the environmental science and data analytics sectors. Attend relevant conferences or webinars to connect with experts and learn about their experiences, which can provide valuable insights into the role and the company.
✨Tip Number 3
Showcase your proficiency in scientific programming languages like Python by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart and highlight your technical skills.
✨Tip Number 4
Prepare to discuss how you would approach model development plans and project management. Think about specific examples from your past work where you successfully communicated complex ideas and delivered actionable insights.
We think you need these skills to ace Environmental Risk Modeller
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Environmental Risk Modeller position. Understand the key responsibilities and required skills, such as proficiency in scientific programming languages like Python and knowledge of mathematical modelling methods.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your background in climate and environmental datasets, as well as any previous work in quantitative modelling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for environmental issues and your ability to deliver innovative solutions. Mention specific projects or experiences where you successfully turned complex data into actionable insights.
Highlight Collaboration Skills: Since the role involves working with a diverse team of experts, emphasize your teamwork and communication skills. Provide examples of how you've collaborated with others in previous roles to achieve common goals.
How to prepare for a job interview at EA First
✨Showcase Your Technical Expertise
Be prepared to discuss your in-depth knowledge of mathematical modeling methods. Highlight specific projects where you've successfully applied these techniques, especially in relation to climate change and environmental data.
✨Demonstrate Programming Proficiency
Since proficiency in scientific programming languages like Python is crucial, be ready to share examples of how you've used Python in your previous work. Consider discussing any relevant projects or challenges you overcame using this language.
✨Discuss Your Experience with Data
Talk about your experience with large climate and environmental datasets. Be specific about the types of data you've worked with and how you've transformed that data into actionable insights for businesses.
✨Communicate Your Vision
Articulate your understanding of the role's responsibilities, particularly in driving model development and delivering analytics. Prepare to discuss how you would scope model development plans and communicate strategic objectives effectively.
