Assistant Vice President

  • 36064
  • Non-Life - Data Science
  • |
  • Bermuda
  • |
  • Oct 18, 2019
Reinsurance
RESPONSIBILITIES
  • Focus on process automation, data interrogation, visualization and validation alongside the continued enhancement of and extension to company Analytics and Risk platform, Our proprietary stochastic modelling framework.
  • Apply a critical mind to work on a wide range of systems and technologies to solve problems.
  • Collaborate with cross-functional experts in technology, underwriting and operations to build and improve system interfaces /features to enable teams to better interpret and make decisions based on data.
  • Work with our risk and underwriting teams to enable data and science-based decisions that support the management of our exposure to earthquakes, hurricanes, fires and floods.
  • Design and develop models to support risk estimation of non-elemental perils such as energy, marine, space, aviation, terror, and casualty insurance.
QUALIFICATIONS
  • A deep knowledge of modern development languages, databases and data management systems, primarily Python, SQL, JavaScript and HTML.
  • Experience with containerization, Linux systems and development processes.
  • A numerical background with a scientific, engineering and/or mathematical university degree.
  • No less than six years’ working experience with a minimum of two years’ experience with data analytics in high performance computing environments.
  • A desire to work in a high-performing collaborative environment and commitment to building a culture of innovation.
  • Exposure to meteorological or seismological science, civil engineering studies, or prior experience in the insurance industry would be beneficial.
  • Willingness to challenge your knowledge of portfolio modelling, genetic algorithms, Geographic Information Systems ridge regression solutions, Generalised Linear Models, Natural catastrophes, tasks automation and performance profiling.
  • A strong customer focus and enthusiasm to applying technology to solve problems.
  • A drive to solve technical challenges quickly and effectively.
  • An ability to multitask and meet changing deadlines and to work outside of traditional business hours, as required.