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Consultant, Research & Modeling Job
Date: Nov 19, 2009
Location: Hartford, CT, US
Committed. Competitive. Constructing our Future.
That's Travelers. We are one of the leading insurance companies in the United States. Our superior financial strength and consistent record of strong operating returns mean security for our customers - and opportunities for our employees. You will find Travelers to be full of energy, and a workplace in which you truly can make a difference.
SUMMARY:
Provides technical and quantitative support for predictive modeling group.
Brings business and insurance knowledge to mathematical problems.
Assists in statistical data mining and other actuarial research by applying advanced statistical concepts with guidance from senior predictive modeling staff.
Uses computer technology, computer modeling, spreadsheet applications, software tools and programming languages.
Models and analyzes statistical data and develops reports, spreadsheets and databases.
Designs, writes and tests computer programs in model building.
PRIMARY DUTIES:
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.
Assist in summarizing results.
Perform entry level programming in SAS, Excel, Access or company software to perform modeling activities.
WORK EXPERIENCE:
Either 1 to 3 years insurance experience or advanced statistical (or related) degree
Basic understanding of database principles
Basic experience in quantitative analysis
Basic time management skills
CERTIFICATES/DEGREES:
College degree in statistics, mathematics, economics, finance, actuarial science or equivalent
COMMUNICATION SKILLS:
Effective communication skills
COMPUTER SKILLS:
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
Travelers is an equal opportunity employer. We actively promote a drug-free workplace.
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That's Travelers. We are one of the leading insurance companies in the United States. Our superior financial strength and consistent record of strong operating returns mean security for our customers - and opportunities for our employees. You will find Travelers to be full of energy, and a workplace in which you truly can make a difference.
SUMMARY:
Provides technical and quantitative support for predictive modeling group.
Brings business and insurance knowledge to mathematical problems.
Assists in statistical data mining and other actuarial research by applying advanced statistical concepts with guidance from senior predictive modeling staff.
Uses computer technology, computer modeling, spreadsheet applications, software tools and programming languages.
Models and analyzes statistical data and develops reports, spreadsheets and databases.
Designs, writes and tests computer programs in model building.
PRIMARY DUTIES:
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.
Assist in summarizing results.
Perform entry level programming in SAS, Excel, Access or company software to perform modeling activities.
WORK EXPERIENCE:
Either 1 to 3 years insurance experience or advanced statistical (or related) degree
Basic understanding of database principles
Basic experience in quantitative analysis
Basic time management skills
CERTIFICATES/DEGREES:
College degree in statistics, mathematics, economics, finance, actuarial science or equivalent
COMMUNICATION SKILLS:
Effective communication skills
COMPUTER SKILLS:
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
Travelers is an equal opportunity employer. We actively promote a drug-free workplace.
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Nearest Major Market: Hartford
Job Segments: Consulting, Healthcare, Research, Service
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