Climate Hazard Modeler - Tropical Cyclone

Climate Hazard Modeler - Tropical Cyclone

Moody's

London, United Kingdom

Objective of the Role

Moody’s RMS have an open position in our hazard modelling team based in London. This role involves researching the hazard of tropical storms and developing statistical and mathematical models which quantify the risk they pose to society. It presents a unique opportunity to work in a multidisciplinary team of catastrophe modelers including statisticians, mathematicians, physical scientists and engineers, to build models which are critical to our Re/Insurance clients and essential to the other markets which Moody’s serve.

Key Responsibilities

The successful candidate will perform research and development work in tropical cyclones and their extreme behavior, with the overarching goal of quantifying their loss potential. S/he will work closely with hazard, vulnerability, exposure, and financial modelers to ensure the accuracy, efficiency and appropriateness of the final modelling product.

Essential Requirements

The ideal candidate’s qualities, skills and attributes follow:

• PhD in a relevant subject (e.g. Atmospheric Science, Statistics, Climate Science, Applied Mathematics, or closely related areas). Holders of an MSc degree in the above relevant subjects, with appropriate work experience may also be considered.
• Strong mathematical foundation with particular focus on numerical modeling, statistics, probability, and computational science.
• Demonstrated success in developing sophisticated mathematical models in academic or industrial environments.
• Experience with climate analyses & data, with knowledge of tropical storm processes particularly advantageous.
• Strong ability in modelling languages (e.g. R, Python, Julia).
• Ability to communicate analysis results and insights effectively both internally and with external business partners.
• Strong user skills in a Linux/Unix environment.

Advantageous:

• Experience with high-performance clusters.
• Ability to work collaboratively within a diverse team of scientists and engineers (including collaborating on code and experience of a version control system such as GitHub).
• Excellent time management and planning skills with a commitment to delivery.
• Driven and committed, demonstrating initiative and self-motivation.
• Critical thinking and problem-solving skills.
• Attention to detail and intense curiosity.
• Familiarity and interest in the re/insurance business domain.
• Familiarity and interest in state-of-the-art modelling methods including AI and ML.
• Willingness to pursue continued education in support of the role and team goals.

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