RELX Group Quality Modeling Analyst in Alpharetta, Georgia

Quality Modeling Analyst


Location: Alpharetta, Georgia, United States

A Quality Modeling Analyst wears multiple hats within the Analytics Department. Quality is our top priority for insurance analytics. Our main responsibility is model and attribute quality review from development through post-implementation across Insurance Data Services. This is described as, but not limited to:

  • Development and maintenance of data formats and sources

  • Attribute coding

  • Score calculations

  • Data filter rules

  • File transmission requirements

  • Creation of test plans

  • Technical documentation

This individual should be able to independently draw appropriate conclusions and make appropriate recommendations for resolution to most issues discovered during the quality review process. This position also requires the ability and willingness to learn multiple data sources and creating/understanding trend analysis reports.

Key Responsibilities

  • Manage and participate in the quality review process for all internal and external requests.

  • Interface with data vendors, modeling, technology and production personnel to assure timely and accurate implementation and maintenance of all Insurance attributes and models.

  • Define thorough test requirements and objectives.

  • Recognize and communicate realistic expectations around capabilities and deadlines.

  • Author, review and troubleshoot modelers coding queries; this includes verifying modeling attributes are consistently defined and all data manipulation techniques work as expected.

  • Participate in the verification of a product via user acceptance testing.

  • Assist in the development of automated solutions to routine validations in order to gain efficiencies in the validation process.

  • Facilitate internal communication to ensure timely updates of data streams that may affect any insurance model, attributes and decision criteria.

  • Define and manage documentation for new variable aggregation, model specification, and model scorecards.

  • Validate state insurance regulations affecting insurance products and verify models and reason codes are within regulatory compliance.

  • Support and resolve ad hoc requests on consumer scoring results as submitted by internal departments.

  • Define appropriate scoring documentation requirements and report formats to support ongoing data, attribute and score trending requirements.

  • Responsible for measuring, maintaining and communicating score, attribute and data changes affecting insurance scoring products.

  • Present analyses and findings as necessary.

  • Assist team members as requested and actively participate in all team meetings.


  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or related fields

  • At least 5 years data analytics, modeling development/validation or related experience

  • High degree of experience with analytical tools/programming languages such as SAS, SQL, R, ECL, and/or MS office products-

  • Excellent verbal and written communication skills

  • Familiarity with the credit or insurance industry strongly preferred

  • Strong team player, constructive and considerate of others’ inputs with the ability to positively influence others, diplomatic skills, confident speaker even in difficult situations

  • Ability to multi-task and efficiently negotiate changing priorities and responsibilities

  • Basic understanding of modeling techniques and potential impacts of related assumptions and limitations

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