April 20, 2018
April 18, 2018
This pioneer peer-to-peer (P2P) online lender serves a full range of investors, from large institutions to 12,000 individual retail investors. It’s P2P business model relies on ultra-efficient, streamlined automation in order to maximize ROI. The lender must have absolute faith in the efficacy of its fraud prevention systems in order to minimize instances of fraudulent loan applications.
With ThreatMetrix, this online lender can accurately determine the level of risk for each online loan application. This has allowed the company to offer variable interest rates according to the customer profile. It can therefore:
Niche and alternative finance providers are key targets for fraudsters looking for ways to capitalize on new money lending models. The online environment provides the perfect level of anonymity for cybercriminals looking to test stolen or spoofed credentials. Likewise, the fast loan approval times put the onus on this online lender to really know who it is transacting with in order to safeguard the integrity of the platform.
“ThreatMetrix is really the top of the funnel for us in terms of fraud prevention. It has provided another layer of protection in automating the discovery of fraudulent accounts. This removes the burden and risk of manual intervention.”
The lender needed a way of combining the static identity assessment data it sourced from credit bureaus and other agencies, with dynamic, real-time data about the connecting user’s device, location and behavioral profile.
One of the key challenges it faced was the wide diversity of its investors, from large institutions to individuals looking to make a good return on their investment. Tolerance for fraud varied widely across this investor base, with larger companies more accepting of some degree of fraud in comparison to individual investors. The lender had to ensure it could preserve the rate of return for all customers, however large or small.
“The ThreatMetrix solution is an organic platform that actually protects us as we grow and change. This is reflected in the way that it continues to learn and improve over time.”
This online lender’s business model relied on robust automation that could speed the loan approval process while accurately detecting fraudulent or high risk applications. The ThreatMetrix solution passively authenticates application in real time using intelligence from the ThreatMetrix Digital Identity Network, eliminating unnecessary friction and maintaining a streamlined online experience.
The ThreatMetrix solution is underpinned by the ThreatMetrix Digital Identity Network which harnesses global shared intelligence from millions of daily consumer interactions including logins, payments and new account applications. Using this information, ThreatMetrix creates a unique digital identity for each user by analyzing the myriad connections between devices, locations and anonymized personal information. The lender could understand the complete context of every loan application so that suspicious behavior was detected in real time.
Digital Identities are created by combining the following key intelligence:
The lender’s pioneering approach to online, peer-to-peer lending has been supported by the following key ThreatMetrix capabilities:
“ThreatMetrix has been a great partner for us. Using their Digital Identities, we can confidently verify a new customer and give a loan approval in minutes, as part of a fully automated process.”