Predictive Modeling Statistician - Life & Health Insurance Job - (St Louis, MO)

Take on a key role with a consistently growing insurance company with incredible career growth opportunities, promoting from within and grooming for executive management. Develop predictive models for insurance applications such as mortality, morbidity, persistency, fraud detection, actuarial valuations, consumer response, and financial risk models and analyze large datasets to identify relations to the development of life and health insurance products. Requirements: *** Advanced Degree in Math, Statistics, Actuarial Science, Business, Finance, Economics, Bioinformatics or related position. *** At least 4 yrs insurance industry background building predictive models for applications related to life, health, or similar insurance products. *** Expertise to use linear and logistic regression, generalized linear models, decision trees, cluster analysis, principal components, feature creation, validation, and other statistical techniques for data collection.