| | Posted 3/10/2010 8:58:31 AM | |
| Supreme Being
       
Group: Administrators Last Login: 1/29/2007 9:04:03 AM Posts: 4,199, Visits: 95 |
| Position: Senior Statistical Research Analyst
Company:Insurance Organization
Location: California
Job ID: 19228
RESPONSIBILITIES:
- Apply background, knowledge, and skills in data handling and data mining to serve critical business uses in Statistical Analysis and Predictive Modeling. - Serve as a key technical member in one or more projects such as Fraud Detection, Subrogation Identification, Attrition/Retention Modeling, Customer Lifetime Value Modeling, etc. - Employ appropriate sampling and dimensionality reduction techniques to handle data volume and size. - Develop multiple models to address the business problem and validate results. Use model selection techniques (e.g., Lift/ROC curves, etc.) to identify the model to deploy. - Communicate effectively with business stakeholders. - Provide technical leadership and mentoring for other members in the team and play a key role in driving future direction and strategy of the group. - Develop, foster, and enhance relationships with internal Business customers.
QUALIFICATIONS:
- Masters degree in Computer Science, Operations Research, Applied Statistics/Mathematics, or a quantitative field is required. - A Ph.D. degree in Statistical Modeling is strongly desirable. - Experience in insurance industry is strongly preferred. - Knowledge and work experience with one or more modeling techniques such as Decision/Regression Trees, - Regression Analysis (e.g., GLMs), Neural Networks. - Experience with statistical software (SAS, SPSS, Splus, R, etc.) is required. SAS programming experience is preferred, with SAS Enterprise Miner experience being highly desirable. - Knowledge and/or experience in Insurance -- Marketing, Underwriting, Claims, or Actuarial is strongly preferred. - 3+ years of relevant work experience is preferred, although exceptions can be made for strong candidates. - Strong verbal, written, and presentation skills are required. - Must be self-motivated, action-oriented and capable of working both independently and as part of a team.
Online Application available at www.jobs4actuary.com
For further information, email info@nasearchg.com and mention Position #19228, or contact any of our recruiters at (905)-477-2962. |
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