Statistical Applications Analyst (San Francisco)
ISO Innovative Analytics (iiA), a unit of Verisk Analytics (VRSK), specializes in applying advanced analytical techniques and data management skills to solve challenging problems related to risk and decision-making in a variety of verticals including property & casualty (P&C) insurance, Healthcare, and Mortgage. We combine vast, and often unique and proprietary, data resources with cutting-edge predictive modeling techniques to create the most accurate models in the industry. Our clients use our risk assessment models for competitive gains in their marketing, underwriting and pricing strategies and our fraud detection and audit selection solutions to improve operational efficiencies. Our market position allows us to dedicate unparalleled time and talent to solving the analytic challenges in our target verticals. iiA is an equal opportunity employer.
The Analytic Applications unit of ISO Innovative Analytics serves a critical function by connecting Analytical R&D efforts with key customer groups. It provides the crucial translation function, allowing R&D activities to progress unencumbered, while enabling their success by positioning them with key stakeholder groups including regulators, potential customers, and development partners.
We are currently seeking a bright, analytical, big-picture thinker for the role of Statistical Analyst in our Property & Casualty Insurance Vertical. We are looking for your contributions in the following areas:
Technical Product Support: Develop technical expertise in iiA products for P&C pricing & underwriting. Explain applications of iiA products to potential customers. Respond to customer questions and interest regarding applications of iiA products. Create content for customer updates; attend client meetings; answer client questions.
Product Development and Market Research: Under direction of senior team members, develop applications of R&D efforts to address business problems; assist with development of product specifications and technical documentation; participate in Product Milestone Meetings; assist with market research and implement accepted changes. Assist managers/project leads with product research; Conduct analysis on new modeling features, customer needs, and business impact in the industry and documenting findings.
Sales & Marketing Support: Create content for sales presentations; answer questions generated from sales activities; create content for marketing collateral.
Filing Support: Support model filing efforts; assist with preparation of Department of Insurance (DOI) presentation and filing material; adjust model output to comply with regulatory requirements; assist with developing answers to DOI questions.
Analytic Project Planning and Management: Execute analyses to meet design requirements and project timeline; highlight data, technical, or business issues as soon as possible for resolution.
Data exploration and modeling: Apply predictive modeling skills & insurance knowledge to design and develop applications of iiA products to P&C pricing & underwriting solutions; Leverage skills in handling very large datasets, perform sampling, and analysis.
Other duties: Perform customized statistical analyses for clients; support Data Management during product development process; support production testing; support maintenance and update efforts; assist with creation and monitoring of model performance metrics.
Qualifications:
Deep understanding of the business of P&C insurance and insurance data; experience applying advanced predictive analytics to develop insurance rating plans is ideal
Insurance professional designations that demonstrate knowledge are a plus (FCAS, ACAS, CPCU);
Graduate degree in quantitative or actuarial field is preferred
1-2 years of experience building predictive models on very large datasets, preferably in P&C insurance.
Excellent verbal and written communication skills; must be experienced in successfully explaining technical results to technical and non-technical audiences
Thorough understanding of generalized linear models and other predictive modeling techniques. Experience with geospatial analysis is a plus.
Professional experience with SAS (including Base SAS, SAS/STAT, Enterprise Guide, and/or Enterprise Miner) preferred
Ability to manage projects to deadlines
Apply Here: https://jobs-isofamily.icims.com/jobs/23613/job
Posted 1/5/2012