Catastrophe Researcher

  • 35899
  • Non-Life - CAT Modeling
  • |
  • England
  • |
  • Sep 23, 2019
  • Conduct natural and man-made catastrophe risk related research and development projects for the Global Accumulation Management function and translate the research insights into positive impacts for the business.
  • Working to develop our View of risk for currently modelled and non-modelled perils and lines of business. This includes validation and calibration of existing models, building new models, adapting existing models to reflect risk changes and leveraging model insights to generate business opportunities.
  • Leveraging data analytics, artificial intelligence and machine learning techniques to enhance the company View of risk, data quality assessment and/or augmentation and to transfer insights to non-modelled regions, etc.
  • Maintaining up to date knowledge of all Cat related research and ensure reporting on relevant emerging information to the Cat management community and other stakeholders.
  • Developing and maintaining a large network of contacts within the academic, reinsurance, model vendor and broker communities in order to keep informed of emerging areas of research and ensure findings are translated into business insight.
  • Advanced university degree in a quantitative subject, natural science, computer science or an actuarial qualification.
  • Typically two or more years of related industry or academic experience.
  • Knowledge in catastrophe and/or climate modelling, including strong statistical and analytical skills.
  • Expert ability to translate academic research into applicable information leading to improved Cat risk assessment and management.
  • Working experience in programming a high-level language like Matlab, R or Python ideally from statistical analysis, machine learning, artificial intelligence and modelling of large data sets are desirable.
  • Technical skills in programming in a higher programming language and database skills are desirable.
  • Supporting the implementing Research & Development pilot projects into the production environment.
  • Expert ability to communicate complex results in a clear way to non-practitioners.
  • Ability to work within a team physically located in different geographies.
  • Highly self-reliant and committed personality with strong interpersonal, communication and networking skills.