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Hartford,
CT
(Click company name to view employer profile and all available
positions.) |
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Career Field |
Actuarial
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| Insurance
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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 knowledge to help creatively solve business problems. Assists in in-depth efforts applying and implementing predictive modeling results. Directs analysts in research and predictive modeling projects. Assists in statistical data mining and other actuarial research by applying advanced statistical concepts. Uses computer technology, computer modeling, spreadsheet applications, software tools and programming languages. Assists in designing reports to enhance analysis Designs, writes and tests computer programs in model-building. Participates in and may be responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations and technical skills. May direct projects that have significant financial impact and may present to senior level management.
PRIMARY DUTIES: 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.
WORK EXPERIENCE: Generally 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 skills Knowledge of insurance products and operations Basic understanding of accounting principles and solid understanding of financial reporting Basic understanding of regulatory environment
CERTIFICATES/DEGREES: College degree in statistics, mathematics, economics, finance, actuarial science or equivalent Advanced degree in statistics (or related) or professional actuarial designation a plus
COMMUNICATION SKILLS: Excellent communication skills
COMPUTER SKILLS: Excellent understanding of computers, programming, SAS, Excel spreadsheets, Word and database software
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