Director-Ph.D Modeler-Insurance Analytics - Analytic Recruiting (New York, NY)

Insurance company seeks Director, Quantitative Analytics/Statistical Modeling. The Director is responsible for leading a team of technical professionals engaged in research, data mining and predictive modeling efforts. The focus of this team is to identify profitable and unprofitable segments of the business for pricing, underwriting, risk management and strategic action. This person will direct and manage the research team in conducting exploratory research related to the property and casualty insurance industry using large and complex datasets. The Candidate will have a Quantitative Degree (Ph.D preferred) in Statistics, Electrical Engineering, Mathematics, or Econometrics, 8+ years of experience programming in SAS in support of data management and statistical functions related to Insurance Industry analytics. The Candidate should have expertise in statistical modeling techniques such as linear regression, logistic regression, survival analysis, Monte Carlo simulations, and time series analysis. Programming experience with SAS (Base, Connect, Graph, Stat, Macro), working knowledge of Oracle, DB2, and SQL Server data in a SAS environment. Windows (XP) and UNIX (Solaris) operating systems experience is a plus. Requirements: *Ph.D. in Statistics, Mathematics, Engineering, or Econometrics * 8+ yrs experience in insurance or financial services industry *3+ yrs experience managing teams of statisticians, modelers and data miners *Hands-on predictive modeling and data mining experience using advanced SAS Keywords: insurance, property, casualty, analytics, predictive modeling, consulting, financial, finance, statistics, statistical modeling, Oracle, SAS, Matlab, macros, logistic regression, linear regression, cluster, principal components, Time Series, Monte Carlo simulations, Survival Analysis,.

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