KCC seeks a highly qualified Statistician to join the model development research team to work on developing advanced catastrophe reference models for multiple disasters. In this position, you will work closely with scientists and engineers to integrate sound statistical methods into KCC catastrophe models and conduct data analyses of historical events.

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to (re)insurance company executives nationwide. These services enhance business strategies and the financial results put our clients at a competitive advantage. KCC catastrophe models currently cover tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 50 countries. For more information, please visit www.kcc.us.com


  • Collaborate with scientists and engineers to develop statistical algorithms for catastrophe model components
  • Internally peer review statistical methods used in catastrophe model components
  • Conduct model sensitivity and validation tests
  • Collect, update, and analyze historical data


  • PhD in Statistics is preferred, candidates with a MS in Statistics and

relevant job experience will also be considered

  • Extensive knowledge of extreme value models, goodness-of-fit test statistics, estimation methods, distribution fitting, and statistical inference
  • Excellent written and oral communication skills
  • Able to work independently and in a team environment