RiskView™ Attributes

Enhance internal credit scoring models

RiskView™ Attributes are critical for institutions to incorporate when running internal credit decisioning models to account for key considerations during anonymous credit risk model construction. Only when these key issues are evaluated and understood will a creditor most effectively leverage RiskView Attributes to help maximize profits and minimize losses.

RiskView™ Attributes offer an extensive library of public record-based traits on individuals available to organizations for use in their internal credit scoring models. These non-tradeline attributes have proven to be very effective for lenders in developing credit decisioning models or as an integrated enhancement to existing models. They can help improve risk assessment up front and help to anticipate potential risk in current customers by monitoring changes in their profiles and certain life events. RiskView Attributes can be effectively leveraged in all three phases of the prospect-customer relationship: prescreening, account origination, and account management activities.

The most recent version has expanded to more than 300 RiskView Attributes. These FCRA attributes have proven to be very predictive for lenders when running internal credit decisioning models and can be effectively leveraged in prescreening, account origination, and account management activities.

LexisNexis® is much more than just access to data. With advanced linking technologies and comprehensive data, you receive actionable information for immediate and effective decision making.

The more you know about your prospects and your customers, the more efficient and profitable you will be. RiskView Attributes goes far beyond traditional bureau data to provide you with the predictive power to acquire profitable customers and filter out risky ones.

Get it now: for more information about LexisNexis® RiskView™ Attributes, please call (800) 869-0751.

Some examples of the RiskView™ Attributes groups are as follows:

  • Bankruptcies, liens, judgments and criminal records – High risk behaviors associated with financial instability
  • Predicted annual income – Higher annual income indicates an ability to repay
  • Property, watercraft and aircraft ownership – Ownership provides evidence of assets and stability
  • Property AVM values – Value of the properties associated with a consumer are reflective of their financial stability and their ability to repay
  • Address stability – Higher move frequency associated with instability
  • Sub-prime credit service solicitations – Indicates consumer is facing financial challenges
  • Sale purchase price index – Detects profitable and distressed property sales
  • Education history – College attendance, degree level pursued and institution rating are highly predictive of earning levels
  • Professional licenses - Licensures are an indication of upward financial mobility

Get it now: for more information about LexisNexis® RiskView™ Attributes, please call (800) 869-0751.

White Papers

  1. Successfully Lend to the Underbanked Consumer
    The recent turmoil in the credit market challenges retail lenders to consider all viable avenues for profitable growth. Opportunities lie in the use of new technologies that provide incremental growth in existing markets while opening up new and alternative markets for growth. In particular, the long-ignored underserved population is a very large untapped market that is garnering new attention from financial institutions and other lenders. In this paper, LexisNexis answers questions such as, "Why should lenders consider the underserved market as a growth opportunity?" and "How do Thin-File consumers and No-File consumers perform in terms of creditworthiness?"
  2. The Population Dynamics and Credit Quality of the Underbanked Market
    LexisNexis® conducted two research studies aimed at quantifying and understanding the credit performance of the underbanked population. The results revealed large untapped segements that are favorable for expanding your lending universe.
  3. Evaluating the Credit Risk of Non-Traditional Borrowers
    Non-traditional data can augment credit bureau-based scoring techniques helping lenders discover profitable prospects and more accurately evaluate the creditworthiness of applicants

Literature

  1. LexisNexis® RiskView™ Solutions

Get it now: for more information about LexisNexis® RiskView™ Attributes, please call (800) 869-0751.

Contact Us

For more information about our solutions call 800.869.0751 or contact us online

RiskView is a consumer reporting agency product provided by LexisNexis Risk Solutions Bureau LLC and may only be accessed in compliance with the Fair Credit Reporting Act, 15 U.S.C. 1681, et seq.

Due to the nature of the origin of public record information, the public records and commercially available data sources used in reports may contain errors. Source data is sometimes reported or entered inaccurately, processed poorly or incorrectly, and is generally not free from defect. This product or service aggregates and reports data, as provided by the public records and commercially available data sources, and is not the source of the data, nor is it a comprehensive compilation of the data. Before relying on any data, it should be independently verified.

X

Did you know?

Credit risk attributes have proven to be very effective for lenders to develop credit decisioning models.