Berkshire Hathaway Specialty Insurance (BHSI) is seeking an analytical and technically-minded scientist or engineer with expertise in storm surge modeling to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development, and providing complex quantitative metrics that inform underwriting decisions.
The successful candidate will join the team responsible for conducting research and developing solutions for storm surge risk assessment and should have strong research and development experience with catastrophe models. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. The Scientist opportunity is in our Boston, MA or San Francisco, CA location.
Essential Job Functions:
Contribute guidance for the development of the BHSI internal view of storm surge risk through probabilistic hazard analysis, data analysis, claims/damage data evaluation, and other independent research tasks. Development work will be incorporated into larger risk methodology used by the CAT E&A team. In addition, review of the storm surge loss analytics considered during account underwriting will be required.
• Development of internal surge analytics based on the SLOSH model, as well as leveraging existing surge outputs available from NOAA
• Perform in-depth evaluation of the storm surge hazard components of vendor models
• Use geospatial analytics to evaluate surge risk metrics and integrate results into the underwriting work flow
• Communicate surge risk evaluation and development results to both internal and external stakeholders
• Review accounts at risk for storm surge losses as part of the larger CAT E&A processing
• Provide operational assistance during real-time catastrophe events and contribute to real-time estimation of losses to the company portfolio
• Conduct research on a wide range of natural hazard topics to develop risk management strategies
• M.S./Ph.D. degree in oceanography, atmospheric science, civil engineering, or related field
• 2 years of work experience is preferred
• Proficiency in using the SLOSH model and postprocessing model output
• Experience developing hydrodynamic model grids and a thorough knowledge of assessing and utilizing topographic and bathymetric datasets
• Working knowledge of ArcGIS (or equivalent)
• Practical experience in insurance, applied engineering, or CAT modeling is required
• A proven ability to critically evaluate model output, with understanding of catastrophe models preferred
• Advanced knowledge of probability and statistics
• Strong written and verbal communication skills
• Proficient programming skills (C++, R, MATLAB, SQL preferred)
• Highly motivated, detail oriented, and team player
NOTE: This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.