Climate Change Risk Modeller

Climate Change Risk Modeller

Moody's

London, United Kingdom

Objective of the Role

Moody’s RMS is currently recruiting for a position related to modelling risk under climate change on a global scale. The modelling work carried out by the team encompasses all steps from climate science R&D, mathematical modelling, code development, data science (ML and AI), and the use of proprietary tools and software for quantification of impacts on assets and portfolios.

Key Responsibilities & Deliverables

The successful candidate will develop methodologies and integrate understandings into Moody’s solutions for physical and emissions risk under climate change. They will work closely with other hazard, vulnerability, exposure, and financial modelers to ensure the accuracy, efficiency and appropriateness of the final modelling products. They will work within a team dedicated to development of modelling products specific to addressing climate change.

Requirements

• PhD in a relevant subject (Climate/Atmospheric Sciences, Hydrology, Oceanography, Applied Mathematics, Physics, Statistics, Engineering) or exceptional Master’s with experience;
• Undergraduate training in highly numerate field (Physics, Applied Mathematics, Statistics, Engineering and related);
• Strong ability in modelling languages (e.g. Python, Matlab, R, or similar);
• Interest in climate change;
• Ability to manage priorities and deadlines;
• Ability to effectively communicate insights and results.

Advantageous (one or more of the following)

• Experience with inland and/or coastal flood modelling;
• Experience with emissions modelling and estimation;
• Knowledge and understanding of various climate change scenarios (RCP, SSP, NGFS, etc.);
• Understanding of the physical principles which underpin weather, ocean and/or climate dynamics;
• Experience working with large and complex datasets;
• Experience with modern systems of scientific repeatability and engineering scalability (e.g. GitHub);
• Experience with high-performance computing and strong user skill in a Linux/Unix environment;
• Financial sector experience in climate analytics;
• Peer-reviewed scientific publications;
• Experience working with numerical models for weather, climate and/or ocean dynamics;
• Experience communicating complex scientific and risk modelling concepts to external stakeholders (in a commercial setting);
• Postdoctoral research experience;
• Experience with a variety of modelling techniques including statistical models (e.g. GLMs), ML and AI.

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