Digital Lending Fraud
- Date:November 14, 2017
- Author(s):
- Test
- Sean Sposito
- Report Details: 20 pages, 6 graphics
- Research Topic(s):
- Digital Lending
- PAID CONTENT
Overview
- 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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