Digital Lending Fraud

Overview

The explosive adoption of the digital channel is changing the nature of lending. Consumers are coming to expect the kind of convenience and speed that a digital experience can deliver, and lenders are increasingly looking to oblige. Although many of the consumer benefits of digital lending are clear, certain complications related to fraud arise when lending goes digital. This is a function of the degree of separation and anonymity in the digital lending process. Building on these factors, today’s fraudsters are relying on a diversified playbook of schemes and techniques to commit loan fraud in digital channels, including the use of synthetic identities, volumetric attacks, and technology designed to disguise their digital footprint. In this report, Javelin explores how these issues have come to unfold and the steps that lenders must take if they want to effectively resist this growing epidemic of digital lending fraud. 

Key questions discussed in this report?
  • What effect has the use of digital channels had on the lending space?
  • How has fraud changed as a result of lending going digital?
  • What are the technology factors affecting the risk of lending fraud in digital channels?
  • What are the fraud risks specific to each type of loan product?
  • How are different segments of consumers affected by digital lending fraud?
  • What are the steps that FIs and other lenders can take to effectively prevent new account fraud?

Companies Mentioned: AU10TIX, BioCatch, Emailage, ID Analytics, Jumio, Mitek, NuData Security, Payfone, SecuredTouch, TransUnion, Yodlee


Methodology

Consumer data in this report is based on information collected in a random-sample panel survey:

· November 2016 survey of 5,028 adult U.S. consumers. For questions answered by all 5,028 respondents, the maximum margin of sampling error is +/- 1.40 percentage points at the 95% confidence level.

· A panel of 10,768 consumers in an online survey conducted from June to July 2017. The margin of sampling error is ±0.94 percentage points at the 95% confidence level for questions answered by all respondents.

· A panel of 10,639 consumers in an online survey conducted in May 2016. The margin of sampling error is ±0.95 percentage points at the 95% confidence level for questions answered by all respondents.


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