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CSc Undergraduate Students <[log in to unmask]>
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From:
Jamie Hayes <[log in to unmask]>
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Tue, 2 Aug 2016 16:03:52 +0000
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CSc Undergraduate Students <[log in to unmask]>
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Hello CSC majors,
If you are a graduating senior, please consider applying for this job opportunity with LexisNexis | Risk Solutions. The job description is below and you can apply at this link:
https://careers.relx.com/careersection/jobdetail.ftl?job=LNR004IZ&lang=en<https://na01.safelinks.protection.outlook.com/?url=https%3a%2f%2fcareers.relx.com%2fcareersection%2fjobdetail.ftl%3fjob%3dLNR004IZ%26lang%3den&data=01%7c01%7cmthomas125%40gsu.edu%7c3a13f45a70d5499c68d908d3ba4b1372%7c515ad73d8d5e4169895c9789dc742a70%7c0&sdata=n7Q4PraN8qWwh8bERKg5gRJ8Wt2GuBIAWmh5YtxXF2I%3d>
Good luck!

Sincerely,
Jamie Hayes

Jamie Hayes | Undergraduate Academic Coordinator
Department of Computer Science | Georgia State University
404-413-6107 | [log in to unmask]<mailto:[log in to unmask]> | http://cs.gsu.edu/




Job Description
Associate Statistical Modeler-LNR004IZ
Risk Solutions : NA-USA-GA-Alpharetta
Description
 Entry level statistical modeler position that exists to conduct statistical analysis and build predictive models for a variety of performance outcomes such as risk, fraud, and collections for one or more markets including (but not limited to) insurance, credit, telecommunication, retail, and government. The incumbent will have a firm understanding of data mining, statistical methods, and multiple modeling/scoring techniques

Accountabilities: 1. Conduct analysis and performance reports in support of existing and new product development, and/or customer sales. 2. With direction, develop analytic models, create and provide analysis code, and work with internal or external stakeholders to validate accuracy of production scoring code. 3. Follow established best practices in statistical work. 4. Assemble, merge, and parse large amounts of data to detect meaningful trends and patterns. 5. Provide support for client inquiries regarding score calculations or other analytic output. 6. Understand analytic plans and follow these plans by identifying and executing the appropriate statistical or modeling technique. 7. Clearly document and communicate analytic work and/or results. 8. Other duties as assigned.

Qualifications: Bachelors Degree in computer science, mathematics, statistics or quantitative methods (or equivalent years experience) 0-3 years experience in building predictive models using SAS or similar software package. 1. Knowledge of statistical analysis methodologies and exposure to SAS or similar software package. 2. Ability to learn quickly and communicate effectively. 3. Fluency with Excel, PowerPoint and Word.
LexisNexis Risk Solutions (www.lexisnexis.com/risk) is a leader in providing essential information that helps customers across all industries and government predict, assess and manage risk. Combining cutting-edge technology, unique data and advanced scoring analytics, we provide products and services that address evolving client needs in the risk sector while upholding the highest standards of security and privacy. LexisNexis Risk Solutions is part of RELX Group plc, a leading publisher and information provider that serves customers in more than 100 countries with more than 29,000 employees worldwide. LexisNexis Risk Solutions is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or [log in to unmask]






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