Climate Hazard Modeler

4 days ago


London, Greater London, United Kingdom Moody's Investors Service Full time

{"h3": "Overview of the Role", "p": "At Moody's Investors Service, we are seeking a skilled Climate Hazard Modeler to join our team in London. As a pioneer in the development and application of cutting-edge, combined statistical and numerical modelling methods for the quantification of natural hazard risk, you will be working with a team of Ph.D. scientists and engineers to build mathematical models that predict the distributions of possible damage due to the effects of tropical storms, extra-tropical storms, thunderstorms, storm-surges, and freshwater floods.", "ul": [{"li": "PhD in a relevant subject (e.g., Holders of an MSc degree in the above relevant subjects, with appropriate work experience may also be considered.", "li": "Strong mathematical foundation with a focus on numerical modeling, statistics, probability, and computational science.", "li": "Demonstrated success in developing sophisticated mathematical models in academic or industrial environments.", "li": "Experience with climate analyses & data, with knowledge of tropical storm processes particularly advantageous.", "li": "Strong ability in modeling languages (e.g., R, Python, Julia).", "li": "Ability to communicate analysis results and insights effectively both internally and with external business partners.", "li": "Strong user skills in a Linux/Unix environment."}, {"li": "Experience with high-performance clusters.", "li": "Excellent time management and planning skills with a commitment to delivery."}], "h3": "Key Responsibilities", "p": "The ideal candidate will have a strong background in mathematical modeling, statistics, and computational science, with experience in developing sophisticated mathematical models in academic or industrial environments. You will be working with a team of experts to build and maintain mathematical models that predict the distributions of possible damage due to natural hazards.", "p": "You will be responsible for developing and applying cutting-edge, combined statistical and numerical modelling methods for the quantification of natural hazard risk, and for communicating analysis results and insights effectively to both internal and external stakeholders.", "p": "In addition, you will have the opportunity to work with a team of Ph.D. scientists and engineers to build and maintain mathematical models that predict the distributions of possible damage due to natural hazards.", "p": "If you are a motivated and detail-oriented individual with a strong background in mathematical modeling, statistics, and computational science, we encourage you to apply for this exciting opportunity.", "p": "We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.", "p": "If you are interested in this role, please submit your application, including your resume and a cover letter, to [insert contact information]."}



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