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Statistician, Fraud Detection (San Francisco, CA)ISO Innovative Analytics (iiA), a unit of ISO, is an insurance solutions company specializing in applying advanced analytic techniques and data management skills to the challenges faced by the property and casualty insurance industry. We combine vast data resources with leading edge predictive modeling techniques to create the most accurate predictive models in the industry. Our product suite includes the most accurate risk models in the industry, solutions to improve marketing activities and predictive models designed to increase operational efficiency. Our clients include many of the nation's leading property and casualty insurers. Our clients use these models to give them a competitive advantage in all facets of their business, from executing marketing, underwriting, and pricing strategies to optimizing operational efficiency in areas such as Claims and Premium Audit. Our market position allows us to dedicate unparalleled time and talent to solving the industry's analytic challenges. The work environment at iiA is fast paced, fun, and informal, but highly professional. Job Description ISO Innovative Analytics (IIA) is looking for a bright, energetic predictive modeler, preferably with insurance claims or fraud modeling experience, to help develop our next generation fraud detection capabilities. In this position, you'll manage all aspects of predictive-modeling projects, be the senior technical resource for those projects, develop and mentor junior analysts, and provide pre- and post-sales technical assistance to clients. Qualifications To qualify, you'll need an advanced quantitative degree (Ph.D. preferred), in conjunction with 1-8+ years experience building predictive and descriptive analytical models. You'll need demonstrated project and thought leadership experience, preferably in P&C Insurance, but other industries are acceptable. Experience working with insurance claims data and/or building fraud models is highly desirable. You should also have knowledge and experience with diverse statistical and data mining methods (e.g., GLM/Regression, Trees, Neural nets, SVMs, etc.). Graph mining and social network analysis skills are highly desirable. In addition, you'll need a proven ability for high-quality execution, technical innovation/adaptation, and initiative. You'll need excellent verbal and written communication skills. You should have the demonstrated ability to manage projects to deadlines and explain technical results to technical and nontechnical audiences. You should be a strong team player. Experience mentoring junior analysts is a plus.
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