At a Glance
- Tasks: Develop innovative models to assess climate and nature risks for businesses.
- Company: Join Risilience, a rapidly expanding company focused on climate analytics.
- Benefits: Work in a collaborative environment with flexible office days and opportunities for growth.
- Why this job: Make a real impact on sustainability while working with top corporations and a diverse team.
- Qualifications: Bachelor's degree in natural sciences or related field; proficiency in Python preferred.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
Role Details
We’re looking for a quantitative modeller to develop our climate physical risk and nature modelling efforts. The successful candidate will be responsible for 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.
It’s a great opportunity for an ambitious individual looking 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.
Responsibilities:
- 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.
- Turn models into Python code for integration into our analytics platform.
- Build and analyse geospatial data layers.
- Deliver compelling analytics and insights that are business relevant.
- Act as point of contact for nature and climate related risks and opportunities.
- Work closely with teams across Risilience and thus be in the Cambridge office a minimum of 3 days per week.
Essential Skills:
- Bachelor’s degree in natural sciences, physics, engineering or equivalent.
- Delivery of environmental or sustainability-related projects to the corporate sector.
- 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 geospatial and environmental datasets, for example: CMIP6, SSPs, 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.
Desirable Skills:
- Postdoctoral research experience in a relevant field.
- Relevant experience in model development (e.g. natural catastrophe modelling, risk quantification).
- 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.
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. Entry into employment is determined by personal merit and by the application of criteria required for the post. No applicant for an appointment or member of staff will be treated less favourably than another on the grounds of sex (including gender reassignment), marital or parental status, race, ethnic or national origin, colour, disability (including HIV status), sexual orientation, religion, age or socio-economic factors.
Information if you have a Disability
Risilience welcomes applications from individuals with disabilities and is committed to ensuring fair treatment throughout the recruitment process. Adjustments will be made, wherever reasonable to do so, to enable applicants to compete to the best of their ability and, if successful, to assist them during their employment. We encourage applicants to declare their disabilities in order that any special arrangements, particularly for the selection process, can be accommodated. Applicants or employees can declare a disability at any time.
Right to work
You must have full permission to live and work in the UK without time limit, restriction or sponsorship.
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Environmental Risk Modeller employer: Risilience
Contact Detail:
Risilience Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Risk Modeller
✨Tip Number 1
Familiarize yourself with the latest climate change models and geospatial analysis techniques. This will not only enhance your understanding but also allow you to speak confidently about innovative solutions during interviews.
✨Tip Number 2
Network with professionals in the environmental risk modelling field. Attend relevant conferences or webinars to connect with potential colleagues and learn about the latest trends and challenges in the industry.
✨Tip Number 3
Showcase your programming skills, especially in Python, by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you can translate complex scientific concepts into actionable insights for businesses. Think of examples from your past experiences where you've successfully communicated technical information to non-technical audiences.
We think you need these skills to ace Environmental Risk Modeller
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Environmental Risk Modeller position. Understand the key responsibilities and essential skills required, as this will help you tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with environmental or sustainability-related projects, particularly those involving mathematical modelling methods and scientific programming languages like Python. Be specific about your contributions and outcomes.
Showcase Your Skills: Make sure to clearly demonstrate your proficiency in geospatial analysis and your ability to translate complex scientific concepts into actionable insights. Use examples from your past work to illustrate these skills.
Personalize Your Application: Address your application to the hiring team at Risilience and express your enthusiasm for the opportunity to work with them. Mention how your values align with their commitment to diversity and inclusion, as well as your eagerness to contribute to innovative analytics.
How to prepare for a job interview at Risilience
✨Showcase Your Modelling Skills
Be prepared to discuss your experience with mathematical modelling methods and how you've applied them to real-world problems. Highlight specific projects where you developed models, especially those related to climate change or nature.
✨Demonstrate Programming Proficiency
Since Python is preferred, make sure to showcase your coding skills. You might be asked to explain how you would turn a model into Python code, so be ready to discuss your programming experience and any relevant projects.
✨Communicate Complex Concepts Clearly
As an Environmental Risk Modeller, you'll need to translate complex scientific concepts into actionable insights. Practice explaining your work in simple terms, as you may need to communicate with non-experts during the interview.
✨Prepare for Team Collaboration Questions
Given the collaborative nature of the role, expect questions about teamwork. Be ready to share examples of how you've worked effectively in diverse teams, particularly in fast-paced environments, and how you manage concurrent goals.