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Hartford,
CT
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Career Field |
Actuarial
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| Insurance
Discipline |
All
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| Relocation
Assistance |
Not Available
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| Job
Duration |
Full Time |
| Salary
Offered |
Open |
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- Complete or coordinate quantitative analysis to solve enterprise business problems which cross multiple Business Units - Directs projects that have significant financial impact - Will be involved in the preparation and/or presentation of results to executive level management
SUMMARY: Provides technical and quantitative analysis 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 programming in SAS, Excel, Access or company software to perform modeling activities. Offer recommendations to improve analyses. Participate in discussions regarding underwriting strategy.
WORK EXPERIENCE: 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 analysis Strong time management skills (works well with somewhat limited guidance) Basic understanding of predictive modeling statistical methods SAS experience is required
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
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