Catastrophe Modeler, AVP

  • 34000
  • Non-Life - CAT Modeling
  • |
  • Ontario, Canada
  • |
  • Jul 30, 2018
  • |
  • French
  • Collecting catastrophe exposure data for clients, assessing the data quality and ensuring the necessary assumptions are made for modeling the risks.
  • Preparing and analyzing data and modeling results for reinsurance renewals and portfolio management projects for clients.
  • Analyzing changes in exposures and the associated impact on catastrophe model results; and communicating the findings to account executives, clients and reinsurers.
  • Modeling the probability distributions of gross, ceded and net results using AIR, RMS and EQECAT vendor catastrophe model software in conjunction with proprietary software.
  • Analyzing how the distribution of results and relevant risk measures change as a result of the application of various reinsurance program alternatives.
  • Contribute to the development and refinement of proprietary catastrophe modeling and mapping tools.
  • Establishing and maintaining strong relationships with clients and colleagues.
  • Leading internal catastrophe modeling and Analytics projects and initiatives.
  • University degree in a quantitative discipline is required. An advanced degree would be desirable.
  • A minimum of 5 years of catastrophe modeling experience at a reinsurance broker, sophisticated re/insurer or may have gained experience at a leading catastrophe model software vendor.
  • An understanding of the re/insurance industry and product lines.
  • Technical expertise working with AIR and RMS catastrophe models.
  • Superior data management skills. This individual must have the ability to manipulate, interpret, and extrapolate complex data.
  • Strong communication and presentation skills. An ability to translate complex technical analysis and concepts into easily understandable terms for brokers and clients.
  • Strong project management skills with an ability to lead independently and prioritize one’s workload.
  • French language skills would be highly beneficial.
  • Superior analytical and problem-solving skills.
  • A collaborative, team-oriented individual.
  • Strong interpersonal skills.
  • Proactive; a desire and ability to lead internal initiatives and research projects to completion.
  • Strong attention to detail.