Insurance Analytics is an entrepreneurial department within the larger client Analytics division. The client is a major player in modeling and quantitative analysis related to credit, fraud detection, identity verification, account management, mortgage default/foreclosure, capital markets risk, insurance loss, pre-screen marketing, retention, loyalty, cro...
Insurance Analytics is an entrepreneurial department within the larger client Analytics division. The client is a major player in modeling and quantitative analysis related to credit, fraud detection, identity verification, account management, mortgage default/foreclosure, capital markets risk, insurance loss, pre-screen marketing, retention, loyalty, cross-sale and most other data-driven efforts in the consumer financial industry. We have a wealth of data and industry experience, a large group of well-trained analysts/statisticians... and a modern computing environment to support you. They offer both technical and managerial career tracks.
Insurance Analytics is a small but rapidly growing unit, which aims to design, create and offer innovative data-driven products to the property and casualty insurance as well as life insurance industry. They are aided by existing business with most of the top twenty and a large number of small and mid-size P&C insurance carriers. This gives them the freedom to explore external data sources and new statistical techniques, and are excited about delivering a whole new generation of solutions.
You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging to a variety of marketing-related models in customer acquisition, retention, cross-sale, event-based triggering and budget allocation
Responsibilities:
1. Independently executes of data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support.
2. Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs
3. Manages staff (as the group grows) including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training
4. Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion
5. Follows industry trends in insurance and related data/analytics businesses. Contributes ideas and actively participates in the investigation and research of new processes, resources and technologies that can potentially be implemented to provide improved customer solutions or to broaden their analytic consulting and related services capabilities.
6. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
7. Travels to client and partner meetings as needed (probably once per month or less)
Required qualifications:
* Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research OR Associateship/Fellowship in the Casualty Actuarial Society.
* 5+ years of experience with statistical modeling and data mining in a P&C insurance context using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Knowledge of credit attributes is preferred but not required
* 2+ years of management experience. Ability to effectively manage own and associates time while multitasking between multiple projects in a dynamic business environment with a variety of internal stakeholders, partners and customers
* Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies).
* Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation, validation.
* Programming experience with SAS (STAT, macros, EM) and other statistical software (R, SPSS, Matlab). UNIX experience is a plus
* Proficiency in Microsoft Office (Excel, Word, PowerPoint)
