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Data Research & Analytics
Risk Solutions
LNR006P7 Requisition #
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This role applies to data science and predictive analytics position working for a global data company that builds risk and fraud solutions for a variety of industries including financial services, telecoms, retailers, auto lenders, and other types of service providers.   All levels are expected to conduct research and development tasks in the modeling/scoring functional area to build, review, and communicate statistical modeling activities to support the business.

The incumbent will be technically proficient in multiple predictive analytics and data mining methodologies using a combination of traditional and machine learning methods.  The incumbent will complete projects with supervision for junior roles, and independence for senior roles. The incumbent will balance day-to-day production assignments, research assignments and will contribute to the advancement of the group.  

  • Execute modeling steps consistent with experience and level
  • Develop and institute guidelines, standards, and best practices to be implemented by the team. 
    Support, training, and be a resource to internal and external statistically trained and non-statistically trained audiences. 
  • Work with sales to provide statistical insight and guidance commensurate with experience and role
     Summarize conclusions, recommendations and solutions for client or stakeholder presentation commensurate with role and experience.
  • Depending on level of experience, build statistical models or supervise others to build statistical models and complete various analytic projects for a variety of applications including risk, fraud, and/or collections in insurance, credit, telecom, collections, and government verticals.  These projects will support internal development projects as well as client-sponsored projects. Ensure risks inherent in model development and usage are properly identified and managed. 
  • Participate in the development of software tools to streamline the building of models and other analytics. 
    Research and design scores, attributes, products and indices through exploration of across a wide range of data sources.  
  • Participate in the development of best practices and new technologies commensurate with experience and role.
  • Other duties as assigned. 

Qualifications for Level 1 Associate Predictive Analytics Statistician: 

  • Bachelor’s Degree in statistics, data science, mathematics or quantitative methods (or equivalent years’ experience), Master’s Degree preferred, but not required.
  • Entry-level experience (0-3 years) building predictive models or conducting data analysis using R, SAS or similar software package.
  • Knowledge of statistical analysis methodologies.
  • Experience with R, SAS or similar software packages
  • Experience with data manipulation techniques
  • High degree of creative, analytic and problem solving skills
  • Ability to learn quickly and communicate effectively
  • Ability to work effectively both independently and collaboratively
  • Willingness to adapt to new techniques and an innovative attitude towards finding solutions
  • Fluency with presentation and document programs such as PowerPoint, Word, Excel, R Markdown, or Shiny.

 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.

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