Catastrophe Researcher

State Farm State Farm · Insurance · Richardson, TX +3 · Research and Data Analytics

State Farm is seeking a Catastrophe Researcher to join their P&C Actuarial department. The role involves executing catastrophe modeling, including data preparation, portfolio analysis, and reporting, as well as conducting independent research on catastrophe risk. The position requires 4+ years of experience in catastrophe modeling or risk management, proficiency in data analysis tools like SQL, R, and Python, and experience with cat modeling software. An advanced degree in a related quantitative field is required.

What you'd actually do

  1. Execute upon all aspects of catastrophe modeling, including data preparation and validation, portfolio analysis and postprocessing, reporting of results, data visualization and mapping.
  2. Be responsive to a range of queries from internal and external stakeholders on topics including property exposure data, real-time cat events, cat model validation and view of risk.
  3. Conduct independent research on catastrophe risk topics and apply findings to inform various insurance industry outcomes.

Skills

Required

  • 4+ years experience in catastrophe modeling and/or risk management
  • High level of proficiency in data analysis, manipulation, and visualization tools and program languages such as SQL, Excel, R, Python.
  • Experience with cat modeling software (i.e. Verisk, Moodys, Cotality) and an understanding of model methodology, practical uses, and limitations.
  • Knowledge of property insurance
  • The ability to lead technical, business, and research projects, managing all aspects to successful completion.
  • The ability to manage multiple tasks and projects simultaneously in a results-driven environment
  • Excellent oral and written communication skills and ability to explain technical concepts succinctly.
  • Advanced degree in Mathematics, Statistics, Computer Science, Meteorology or related Catastrophe Science disciplines.

Nice to have

  • Experience using, interpreting, adjusting, and validating outputs and underlying assumptions of catastrophe models is preferred.

What the JD emphasized

  • 4+ years experience in catastrophe modeling and/or risk management
  • High level of proficiency in data analysis, manipulation, and visualization tools and program languages such as SQL, Excel, R, Python.
  • Experience with cat modeling software (i.e. Verisk, Moodys, Cotality) and an understanding of model methodology, practical uses, and limitations.
  • Advanced degree in Mathematics, Statistics, Computer Science, Meteorology or related Catastrophe Science disciplines.