Predictive Modeler, Director of Research – Personal Lines – Auto & Homeowner – Research & Analytics Team – Leading Insurance Firm
Leading Insurance Firm is looking to hire a predictive modeler at the director level, who will be charged with developing special models: pricing, territorial ratemaking, credit modeling, vehicle symbol, etc. The director will be covering predictive analytics for auto and homeowners, and utilize highly quantitative modeling methodologies including GLM, CART, etc. The scope of responsibilities will also include data analysis and mining as well as possibly managing direct reports and training the predictive analytics staff.
Hartford, CT, USA
Requirements:
- Minimum Masters degree (MS/MFE) in a quantitative discipline (i.e. Mathematics, Statistics, Computer Science, Financial Engineering) , PhD preferred
- Min 6-10 years of relevant experience in insurance (personal lines), and 5+ years in statistical modeling
- Expert demonstrates knowledge of personal lines insurance related product pricing
- Experience with data analysis, manipulation, and mining; big data experience preferred (Hadoop, etc)
- Advanced statistical modeling experience and knowledge (GLM, CART, logistic regression, etc)
- Computer skills: SAS, R, Matlab, SPSS, etc
- Excellent communication skills (written, verbal, presentation)
Keywords: predictive modeler, predictive analytics, predictive models, research, insurance, personal lines, auto, automotive, homeowner, special models, ratemaking, GLM, CART, logistic regression, pricing, Matlab, R, SAS, MS, PhD, Hartford, Connecticut, CT, USA
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