Teams at Karen Clark & Company

Develop and maintain wind vulnerability modules for catastrophe risk models. Analyze insurance claims, loss data, building codes, inventories, construction practices, and windstorm damage research. Validate model loss estimates, conduct post-event field surveys, perform probabilistic and reliability analyses, and create technical documentation and presentations for technical and non-technical audiences.

Develop global earthquake catastrophe models by analyzing historical seismicity, researching tectonics and fault mechanisms, creating seismicity and magnitude-frequency models, and conducting post-event damage surveys. The role requires advanced statistical expertise, a PhD in seismology or geophysics, strong communication skills, and travel flexibility. Python, GIS software, catastrophe modeling, and C# experience are advantageous.

Develop statistical and machine learning algorithms for weather, climate, and catastrophe modeling. Collaborate with scientists and engineers, analyze large atmospheric datasets, and conduct model sensitivity and validation testing. The role requires advanced knowledge of statistical inference, extreme value models, distribution fitting, estimation methods, and goodness-of-fit testing, along with demonstrated machine learning experience.