Climate Change Risk Modeller

Job title:

Climate Change Risk Modeller

Company

Moody’s

Job description

• Minster Building, 21 Mincing Lane, 2nd Floor, London, EC3R 7AG, GB

At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.OverviewMoody’s RMS is the world’s leading provider of models and information related to the financial impact of natural hazards. These models are used for assessing risk for the present-day baseline period as well as for future time scales under climate change. Moody’s combines physical risk information with detailed models for estimation of carbon equivalent emissions enabling a holistic view of risk under climate change. Our Model Development department has several hundred scientists and engineers, building models that predict the distributions of possible damage arising from tropical storms, extra-tropical storms, thunderstorms, storm-surges, freshwater floods, heat waves, droughts and wildfires. We use a combination of observations, reanalysis data, numerical, statistical and engineering models. We are the pioneers in the development and application of combined statistical and numerical modelling methods for the quantification of natural hazard risk, and our models are the most detailed and comprehensive models of natural catastrophes produced anywhere in the world. Moody’s RMS is the market leader and has several hundred clients across the entire financial sector including insurance and reinsurance companies as well as brokers, banks, asset managers, hedge funds, regional and local governments, and multilateral agencies. Moody’s RMS model development has a diverse international team, and an engaged and flexible working environment.Objective of the RoleMoody’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

#LI-ER1Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Expected salary

Location

London

Job date

Thu, 12 Sep 2024 23:34:03 GMT

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