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    Analytics & Modeling Analyst - London, United Kingdom - Moody's

    Moody's
    Moody's London, United Kingdom

    5 days ago

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    Description

    Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply You may be a perfect fit for this role or other open roles.

    Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

    At Moody's, we're taking action. We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We're educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at

    Moody's RMS is the world's leading provider of mathematical models and information related to the financial impact of natural catastrophes. Our Model Development department has a multidisciplinary team of scientists and engineers, building mathematical models that predict damage caused by tropical storms, extra-tropical storms, thunderstorms, coastal floods, freshwater floods and tsunamis.

    We use a combination of observed data, reanalysis data, numerical, statistical and engineering models and data assimilation. We are the pioneers in the development and application of complex statistical and numerical modelling methods for the quantification of natural hazard risk, and our risk models are the most detailed and comprehensive models of natural catastrophes produced anywhere in the world.

    Role & Responsibilities


    The Inland Flood team focuses on developing high-resolution, large-scale hydrologic/hydraulic flood model. The work carried out by the flood team encompasses all steps from hazard to loss modeling. The department has an engaged, collaborative working environment with a clear scientific and innovative culture.

    We are looking for a candidate with a background in hydrology, climate sciences, data sciences, or a closely related field and a desire to apply that expertise in quantifying the risks driven by inland flood.

    Key accountabilities & deliverables:

    • Contribute to the scientific and technological development of the large scale flood hazard model components, as well as to their application: space-time stochastic rainfall model, rainfall-runoff processes, hydraulic routing modelling, high-performance models for floodplain inundation and defense failure mechanisms
    • Further advancement of flood hazard models by researching and implementing novel scientific techniques (e.g. Machine learning in flood prediction, inundation, forecasting etc.)
    • Calibrate and validate model components throughout the comparison to observed data including benchmarking of flood inundation maps
    • Evaluate final model output (e.g., flood footprints, flood losses and their spatial patterns using statistical methods and GIS tools)
    • Advancement of our models through research and implementation of novel scientific techniques (e.g. meteorological drivers of extreme floods, large scale patterns of flooding, trends and impact of regional flood risk, etc..)
    • Communicating research to clients and other stakeholders across teams

    Qualifications:

    • PhD in Hydrology, Hydraulics, Coastal and Ocean Engineering, Applied Mathematics, or a related discipline. Strong candidates with a relevant MSc and appropriate research or work experience will also be considered
    • Strong programming ability in scientific and analytical scripting/programming languages (e.g. Fortran, R, Python, bash, CUDA, C/C++)
    • Strong analytical skills and ability to effectively communicate insights to internal and external stakeholders

    Advantageous Skills:

    • Knowledge of Machine Learning techniques applied to large environmental datasets
    • Experience working with large scale climate model datasets (e.g. GCMs, RCMs, or CORDEX)
    • Familiarity with large scale model development projects on HPC environments in Linux
    • Understanding of data-assimilation and/or forecasting environments, GIS tools, SQL and a strong publication record
    • Strong knowledge of statistics and probability theory

    Moody'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.

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