RELX Group Statistical Modeler in Alpharetta, Georgia

Statistical Modeler

Category:

Location: Alpharetta, Georgia, United States

Statistical Modeler

This position will provide the opportunity for the candidate to research and deliver analytic solutions on a state of the art Data Analytics Supercomputer known as HPCC – High Performance Computer Cluster. Furthermore, the candidate will continue to leverage current analytical tools such as Python, R, and SAS to build a variety of business solutions in the insurance claim space. This endeavor will include fraud detection, severity predictions, and claims’ routing optimization. The candidate will build on their machine learning knowledge and will be exposed to social graph analysis across petabytes of insurance and public record data repositories.

Responsibilities

  • Develop scoring models and statistical analysis; provide code to customers or internal contacts to validate accuracy of production scoring code.

  • Interpret business plays to recommend (and execute) an analytic plan to supervisor and/or client.

  • Follow modeling best practices and provide feedback on ways to enhance current practices.

  • Provide technical support and be a resource to internal and external modelers.

  • Build statistical models and complete various analytic projects for a variety of applications including risk, fraud, collections in insurance, credit, telecom, collections, and government verticals. These projects will support internal development projects as well as client sponsored projects.

  • Conduct analysis and performance reports in support of existing and new customer sales.

  • Summarize and communicate conclusions and solutions to analytic and non-analytic stakeholders.

Qualifications

  • Bachelor's degree in computer science, mathematics, statistics or quantitative methods (or equivalent year?s experience) .

  • Master's Degree preferred.

  • 3+ years demonstrated applied modeling and analytics experience in applicable industry.

  • Strong understanding of statistical methods applied to data analysis

  • User of SAS, SPSS, R or equivalent analytic software.

  • Understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques.

  • Fluency with Excel, PowerPoint and Word.

  • Strong oral and written communication skills, including the ability to describe statistical results to non-statistical audiences

  • Experience processing large data sets.

  • Experience matching/merging multiple data sets

At LexisNexis Risk Solutions, we believe in the power of data and advanced analytics for better risk management. With over 40 years of expertise, we are the trusted data analytics provider for organizations seeking actionable insights to manage risks and improve results while upholding the highest standards for security and privacy. Headquartered in metro Atlanta, LexisNexis Risk Solutions serves customers in more than 100 countries and is part of RELX Group plc, a world-leading provider of information and analytics for professional and business customers across industries. For more information, please visit www.lexisnexisrisk.com. 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 accommodations@relx.com.