Senior National Product Development Spec.

Creatively source, extract, merge, and re-condition data to enable multivariate modeling efforts. Comprehend data distributions in large datasets, and apply dimension reduction and appropriate data transformations.

Build, evaluate and improve upon multivariate statistical models for predictive efficiency and stability. Incorporate industry best practice pricing and segmentation techniques into predictive modeling approaches.

Research and analyze competitors’ personal lines product models and techniques. Analyze business models and strategies and measure their effectiveness. Write detailed technical reports with clear business implications.

Consult with Product Managers to work through various product design issues and approaches. Advise on the modification of the national product template to take advantage of state specific variations and market segmentation. Serve in a team lead role on projects. Support best practices by providing guidance and consultation within the research group.

Qualifications include: Graduate degree in applied statistics or a related quantitative field with strong emphasis on research methodology and statistical modeling required. Three or more years professional experience in advanced statistical modeling applications using SAS or equivalent tools required. Programming skills in SAS, structured query language, or other data management/analysis applications required. Outstanding communication skills, both oral and written, are essential. Must be self-motivated to drive projects to completion on time, using a combination teamwork and individual effort. Prior insurance industry experience strongly preferred.