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Senior Consultant of Statistical Research & Modeling

Job Snapshot
Location:
Hartford, CT 06101 (map it!Map it! )
Employee Type:
Full-Time
Industry:
Accounting - Finance
Insurance
Manages Others:
No
Job Type:
Accounting
Insurance
Education:
4 Year Degree
Experience:
At least 3 year(s)
Post Date:
11/6/2009
Contact Information
Contact:
Richard Davis
Phone:
919 468 8484
Ref ID:
09506 (RDD-C)
Fax:
919 468 8126     instantly fax your resume >>
Description Our client is one of the leading Insurance Companies in the United States. they are in need of a Senior Consultant of Statistical Research & Modeling for their office in the Hartford CT. area. The Sr. Consultant will provide technical and quantitative analysis for the predictive modeling group, bring business and insurance knowledge to mathematical problems,  assist in statistical data mining and other actuarial research by applying advanced statistical concepts with guidance from senior predictive modeling staff, use computer technology, computer modeling, spreadsheet applications, software tools and programming languages, models and analyze statistical data, develop reports, spreadsheets and databases, design, write and test computer programs in model building.
Primary duties will consist of:
Conduct research and predictive modeling. Interpret data and identify correlations using both univariate and multivariate analysis.
Prepare responses to inquiries from business areas.
Investigate and assist in data analysis.
Perform programming in SAS, Excel, Access or company software to perform modeling activities.
Offer recommendations to improve analyses.
Participate in discussions regarding underwriting strategy.
Requirements College degree in statistics, mathematics, economics, finance, actuarial science or equivalent
Either 3 to 5 years insurance experience or advanced statistical (or related) degree with 1 to 3 years of work experience
Solid understanding of database principles
Strong experience in quantitative analysisBasic understanding of predictive modeling statistical methods
Solid understanding of computers, Excel spreadsheets, Word and database software
Basic understanding of programming (any language) as well as aptitude and desire to learn SAS

This is an excellent opportunity with a leader in the insurance industry that affords an excellent salary, benefits and relocation package for the right candidate.

If interested in this opportunity send your resume in MS Word format to [Click Here to Email Your Resumé] Att: Richard Davis 09506 (RDD-C)






Key Words: Research, Modeling, Statistical, Statistics, Predictive Modeling, univariate, Multivariate, Analysis
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