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, sustainability, and enterprise risks and opportunities.
This will involve various modelling, analytical, and data science techniques to quantify the probability, consequences, and financial impacts of risk scenarios on businesses and economic sectors. You will work on innovative scientific models and apply large, complex datasets to solve challenges related to risk quantification.
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.
• Advanced degree (PhD or Masters) in engineering, mathematics, natural sciences, or a related discipline.
• In-depth knowledge of mathematical modelling methods (related to, for example, statistics, probability theory, Bayesian analysis, or other relevant topics) and their application to real world problems.
• Strong ability in modelling languages (Python preferred but other languages may include R, MatLab, SQL).
• Data science and visualisation skills and experience working with relational databases.
• 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 risk and 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.
• 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, risk quantification).
• 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.