AEAweb: JOE

C0 Mathematical & Quantitative Methods

Commercial National Product Specialist--This position is responsible, through the use of multi-variant analysis and dynamic model building techniques, to design and maintain Commercial Lines national product templates to include general liability, commercial auto, commercial property, or special lines of insurance. This is a key statistical and research role, and the selected individual will lead a number of projects with multiple cross-functional departments which will make it necessary to interact with all levels, including Commercial Lines, the Product Research area, State Managers, Claims, Marketing and Information Technology. ESSENTIAL FUNCTIONS: (1) Create and maintain a national product template by Commercial lines through the use of multivariate statistical modeling and industry best practice pricing and segmentation techniques. Advise Product Managers on the modification of the national product template to take advantage of state specific variations and market segmentation. (2) Develop data mining techniques and statistical modeling tools to analyze Commercial Lines product information housed in the Grange data warehouse. (3) Research and analyze competitors' commercial lines product models and techniques. Provide insight and be able to exercise 'out-of the box' thinking in commercial lines pricing strategy. (4) Analyze business models and strategies to measure their effectiveness. Continuously review/refine national product template to achieve maximum adaptability, ease of use, and product profitability. (5) Work with the Information Technology Group and other functional areas to construct and collect better data. QUALIFICATIONS: Advanced degree in statistics or related areas that include quantitative research, applied statistics, research methodology, and statistical modeling or data analysis required. Experience with SAS required. Experience with Generalized Linear Modeling and other predictive modeling techniques strongly desired. Prior experience using Heckman, Logistic, Possion and Tobit models and survival analysis a plus. Proven skills in data management and data extraction working with large data sets preferred. Must have an aptitude for critical thinking and problem resolution and strong communication skills. Candidate must have worked at least two years in the financial services industry (insurance, banking etc.). Grange Mutual Casualty Group, based in Columbus, Ohio, is a $1 billion insurance and financial services provider. Through its network of independent agents, Grange offers auto, home, life, business and farm insurance protection through Grange Insurance and Integrity Insurance. We currently operate in 12 mid-west and southeast states. Interested candidates should submit their resume by going to www.grangeinsurance.com and clicking on 'Become an Employee', then Current Openings. An equal opportunity employer.
[ JOE ID# 20070807301 ]