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Director of Predictive 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
Strategy - Planning
Insurance
Education:
4 Year Degree
Experience:
At least 5 year(s)
Post Date:
11/6/2009
Contact Information
Contact:
Richard Davis
Phone:
919 468 8484
Ref ID:
09505 (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 Director of Predictive Research & Modeling for their office in the Hartford CT area. The Director's job summary  will consist of the providing of technical and quantitative analysis for predictive modeling group.  Bringing business knowledge to help creatively solve business problems.
Assisting in in-depth efforts applying and implementing predictive modeling results. Directing analysts in research and predictive modeling projects.  Assisting with statistical data mining and other actuarial research by applying advanced statistical concepts. Using computer technology, computer modeling, spreadsheet applications, software tools and programming languages. Assisting  in designing reports to enhance analysis. Designing, writing and testing computer programs in model-building. Participating in and may be responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations and technical skills. Directing projects that have significant financial impact and present to senior level management.
Primary responsibilities will be:
Conduct research and predictive modeling. Interpret data and identify correlations using both univariate and multivariate analysis. Participate in discussions regarding underwriting strategy.Communicate results and their implications to business centers.Prepare responses to inquiries from business areas.Oversee programming in SAS, VBA, Excel, Access or company software.Participate in and/or is responsible for advanced projects.Present findings to underwriting and actuarial management.Provide assistance and supervision to less experienced staff
Requirements College degree in statistics, mathematics, economics, finance, actuarial science or equivalent Advanced degree in statistics (or related) or professional actuarial designation a plus
5 to 7 years of research, modeling or actuarial experience
Demonstrated ability in statistical modeling and data mining techniques (GLM, clustering, decision trees, etc)
Strong understanding of insurance related modeling and data
Strong project management skillsKnowledge of insurance products and operations
Basic understanding of accounting principles and solid understanding of financial reporting
Basic understanding of regulatory environment
Excellent understanding of computers, programming, SAS, Excel spreadsheets, Word and database software


This is a great opportunity to work for a leader in insurance. An excellent salary, benefits package and relocation assistance applies 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: 09505 (RDD-C)








Key Words: Modeling, Predictive Modeling, Statastics, Computer Modeling, Spreadsheets, Univariate, Multivariate, Actuarial, Data Mining, Insurance, GLM, Clustering, Decision Trees,
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