Masters degree in Actuarial Science or a related quantitative field and 3 years of experience in position offered or similar data science role. Also requires 3 years of fulltime professional experience applying of data science to forecast claim liabilities in actuarial reserving or similar activities. 3 years of experience using a crossplatform tool development to retrieve, clean, and organize data and consequent analysis and reporting on userend dashboards. 3 years in reviewing, analyzing and presentation of complex insurance data at an insurance carrier or broker with knowledge of at least one of the casualty lines such as auto, workers compensation, general liability. 2 years of experience applying Excel, VBA, and modeling languages such as Python, SAS or R to solve complex analysis problems such as simulation, stochastic reserve analysis, exposure mix analysis, or claims analysis. 1 year of experience using Tableau, Power BI, or RShiny.
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