Environmental Risk Modeller

Job title:

Environmental Risk Modeller

Company

Risilience

Job description

Role DetailsWe’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.In this role you will be expected to:

• 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. 

Expected salary

Location

Cambridgeshire

Job date

Fri, 21 Feb 2025 23:26:26 GMT

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