Predictive Modeler – Insurance Analytics – Chicago, IL

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16 April 2014

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We’re helping our client, a global information services company, hire an experienced Predictive Modeler for their insurance analytics teams. This is an outstanding opportunity to join a high performing group of analysts, statisticians, modelers and economists. The analytics teams are equipped with the tools and empowered with the freedom to explore external big data sources and new statistical techniques in pursuit of the next generation of insurance market solutions.

The Predictive Modeler will use advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. In addition, this person needs to be able to communicate projects and complex modeling concepts clearly and in easy to understand verbal discussions, reports and/or presentations to internal and external customers.

Hiring Profile:

• Advanced degree in statistics, mathematics, economics, operations research or other quantitative area of study
• 5+ years’ predictive modeling experience working with SAS, SPSS, R or related statistics package
• 2+ years’ experience data mining and/or conducting statistical analysis for the Property & Casualty (P&C) insurance industry required
• Excellent presentation and communication skills

Client offers generous compensation package including competitive base salary plus bonus. Relocation help is available to Chicago.

Learn more about this exciting opportunity! Send resume for prompt and confidential consideration. Rest assured, we would never send your resume to a client without talking with you first.

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