Research Associate

  • 37013
  • Non-Life - CAT Modeling
  • |
  • England
  • |
  • Mar 12, 2020
Software Organization
  • Thorough understanding, interpretation and explanation of company’s models to clients, prospects and academia.
  • Helping clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results and evaluation of company models.
  • Creating and giving presentations to clients and research organisations, for example on existing models and model change, as well as writing technical documentation.
  • Working on innovative projects requiring own research. The development of tools and models to solve problems on bespoke basis directly for clients and as part of company’s wider model development.
  • Representing the company at industry and academic conferences, presenting models and original research in oral and poster sessions.
  • Following latest industry trends, research in your area of expertise and the potential for participation in post-disaster field surveys.
  • Collecting, interpreting and analysing scientific and engineering information.
  • You will have a PhD or MSc in one of the following preferred disciplines: Meteorology, Atmospheric Physics, Earth Science, Climate Science. Where educated to an MSc level, two-four years of relevant research experience is required.
  • Very strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to a client facing role.
  • Knowledge of Touchstone, Touchstone Re and/or CATRADER is desirable but not essential.
  • Knowledge of insurance and reinsurance and the Lloyds market is preferred.
  • Excellent communication, interpersonal skills, time management and organisational skills are also required.
  • The ability to motivate and inspire research-based discussions amongst colleagues is desirable.
  • Experience using Microsoft Office is essential.
  • Ability to code in languages such as SQL, R, Python will be beneficial. Knowledge of ArcGIS would be desirable.
  • Proficiency in oral and written communication is highly desirable, particularly the ability to communicate complex ideas simply and effectively.
  • Prior experience in the visualisation and communication of risk e.g. via animations, video, infographics or other means would be desirable.