Environmental Risk Analyst

Location: UK

Role details

This role will be part of the climate risk model development team and based in our Cambridge office, however we do support flexible/hybrid working and can look at applicants based outside the area. You will help us to develop and expand our modelling of climate, nature-related, and enterprise risks and opportunities.

This will involve research into various related subject areas and the development of analytical and modelling methods to assess and quantify the probability, consequences, and financial impacts of risk scenarios on businesses and economic sectors. You will work on innovative scientific approaches to solve challenges related to risk quantification and its application to support strategic business decisions.

You will support our product development, integrating these models into our existing model framework, and support our client delivery team in communicating technical models, methodologies, and outputs externally.

Essential skills

• Advanced degree (Masters or PhD) in natural or social sciences, engineering, mathematics, or a related discipline.

• Knowledge of quantitative analytical and statistical methods and their application to risk and real world problems (including, for example, probability theory, catastrophe science, Bayesian analysis, and/or other related topics).

• Understanding of the social, policy, and economic dimensions of risk, as well as concepts related to risk perception, communication, and management.

• Proven ability in modelling languages (Python preferred but other languages may include R, MatLab, SQL).

• Excellent problem-solving skills, including the ability to learn new topics and develop innovative solutions.

• Research experience and an ability to source information and organize and interpret datasets.

• Ability to effectively communicate complex scientific topics and analyses to other non-expert teams and clients.

• An interest in climate change and environmental risk as well as business management science.

• Demonstrated 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

• Data science and visualisation skills and experience working with relational databases.

• Knowledge of and/or expertise in relevant topics related to climate change, such as physical risk science, economics and finance, technology, etc.

• Sector-specific expertise (e.g. energy, utilities, finance, agriculture, etc.).

• Geospatial analysis/GIS skills.

• Relevant experience in model development (e.g. natural catastrophe modelling, corporate financial valuation).

• Postdoctoral research experience in a relevant field.

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.

Apply now