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Associate Quality Analyst

📁
Data Research & Analytics
💼
Risk Solutions
📅
LNR0084O Requisition #

Responsible for basic model and attribute quality review from development through post-implementation across Insurance Data Services.  This includes the development and/or maintenance of attribute and score calculations, data filter rules, file transmission requirements, the creation of test plans and technical documentation. This individual should be able to, with guidance, understand product purpose, draw appropriate conclusions, and make recommendations for resolution to most issues discovered during the quality review process.

 
  • With guidance, manage and participate in the quality review process for all internal and external requests concerning data, models and attributes.
  • Interface with modeling, technology, and product personnel to assure timely and accurate implementation and maintenance of all Insurance attributes and models.
  • Define thorough test requirements and objectives.
  • With guidance, responsible for measuring, maintaining and internally communicating score, attribute and data changes affecting insurance scoring products.
  • Assist in the development of automated solutions to routine validations in order to gain efficiencies in the validation process.
 
Qualifications
  • Bachelor’s degree in Mathematics, Statistics, Engineering, Economics, Accounting, or related field.
  • Entry level experience with data analytics, modeling development/validation, quantitative reasoning, or similar.
  • Knowledge of and desire to learn analytical tools/programming languages such as SAS, Python, SQL, R and MS office products.
  • Excellent verbal and written communication skills.
  • Strong attention to detail with a desire to follow a task to completion.
  • Team player, constructive, and considerate of others’ inputs with the ability to positively influence others, 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 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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