StatisticianKCC seeks a highly motivated Statistician to join the KCC Model Development Team who are building advanced technology for weather, climate, and catastrophe modeling.  In this position, you will work closely with other scientists and engineers to implement advanced data science and statistical methods including machine learning.   About KCC Karen Clark &amp; Company (KCC) is the innovation and technology leader in weather, climate, and 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 enhance risk management strategies and climate resiliency.  KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For more information, please visit <a href="http://www.karenclarkandco.com/">www.kcc.us.com</a>Responsibilities<ul><li>Collaborate with scientists and engineers to develop advanced statistical and ML algorithms for cutting edge applications</li><li>Collect and analyze large data sets of atmospheric data</li><li>Conduct model sensitivity and validation tests</li></ul>Qualifications<ul><li>PhD in Statistics is preferred, candidates with a MS in Statistics and relevant job experience will also be considered</li><li>Extensive knowledge of extreme value models, goodness-of-fit test statistics, estimation methods, distribution fitting, and statistical inference</li><li>Experience with AI and ML a plus </li><li>Excellent written and oral communication skills</li><li>Able to work independently and in a team environment</li></ul>

Karen Clark &amp; Company develops software that provides innovative tools for catastrophe risk management. Over two decades ago, Nobel Peace Prize Honoree Karen Clark pioneered the catastrophe risk modeling techniques and solutions used today by virtually every insurance and reinsurance company in the world.
Karen Clark &amp; Company is now leading the next generation of catastrophe risk management solutions to address the evolving needs of its clients. RiskInsight&reg;, the first open loss modeling platform, is used by insurance and reinsurance companies in US and non-US markets and supports new catastrophe models for major perils such as hurricanes, earthquakes, and severe convective storms. Additional innovations by Karen Clark &amp; Company include the Characteristic Event (CE) methodology and real-time event tracking.

Statistician

StatisticianKCC seeks a highly motivated Statistician to join the KCC Model Development Team who are building advanced technology for weather, climate, and catastrophe modeling. &nbsp;In this position, you will work closely with other scientists and engineers to implement advanced data science and statistical methods including machine learning.&nbsp;&nbsp; About KCC Karen Clark &amp; Company (KCC) is the innovation and technology leader in weather, climate, and 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 enhance risk management strategies and climate resiliency. &nbsp;KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For more information, please visit <a href="http://www.karenclarkandco.com/">www.kcc.us.com</a>Responsibilities<ul><li>Collaborate with scientists and engineers to develop advanced statistical and ML algorithms for cutting edge applications</li><li>Collect and analyze large data sets of atmospheric data</li><li>Conduct model sensitivity and validation tests</li></ul>Qualifications<ul><li>PhD in Statistics is preferred, candidates with a MS in Statistics and relevant job experience will also be considered</li><li>Extensive knowledge of extreme value models, goodness-of-fit test statistics, estimation methods, distribution fitting, and statistical inference</li><li>Experience with AI and ML a plus </li><li>Excellent written and oral communication skills</li><li>Able to work independently and in a team environment</li></ul>

Statistician

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Karen Clark & Company

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