In terms of credit risk, fraudulent loan requests can be defined as loans never intended to be paid back. A fraudster can be defined as a person able to convince the lender about their existence and ability to pay the loan back by using deceptive tactics.
ThreatMark can help identify such persons by using behavioral data from the online application usage. Analysis of this data utilizes minor differences in online behavior of clients who seriously plan to pay a loan back, and of fraudsters who do not have this intent at all.
High-level behavioral features processed by ThreatMark on atomic level include answers on questions such as the following: How long is a user pondering taking the loan? Are they trying to optimize the monthly installment? Have they read the terms and conditions? How fast are they typing? Do they just copy and paste information?…
Depending on business goals, ThreatMark can also help decrease the number of insolvent people in an open portfolio, or cut the costs on human resources by reducing the manual processing time required for loan assessment.