The most complete database of underbanked loan performance data available.
FactorTrust has built the most complete database of proprietary loan performance
data within lenders servicing under-banked consumers. The data is updated either
in real time or via nightly batch updates. Based on extensive studies, previous
loan performance stands alone as the single greatest predictor of future behavior.
Provides complete bankruptcy, lien and judgment data on a Federal, State, and Local
level.
An occurrence of bankruptcy, as well as, the current status is key information in
considering the credit worthiness of an applicant. A consumer currently in bankruptcy
proceeding or those who have a discharged bankruptcy are vastly different in terms
of risk profile and should be managed accordingly.
Ensures consumer compliance with OFAC & Patriot Act.
Ensures that all potential applicants are compliant in accordance with the guidelines
of the Patriot Act and Office of Foreign Assets Control.
Enables lenders to create decision metrics based on a consumer’s phone number. PhoneLogic
details phone status based on landline or wireless, “Do Not Call List” status along
with service longevity.
The success of the LendProtect score and its ability to accurately assess risk has
lead many of FactorTrust’s clients to utilize the score to determine the amount
of money to loan to individual consumers. Optimizing the amount of capital a consumer
has access through predictive risk scoring has proven to significantly increase
the overall value of the lenders portfolio.
Utilizes cutting edge technology to detect cyber criminals by identifying their
computers. Through device fingerprinting computers are identified through historical
transactions or by highlighting risk factors frequently seen in online theft.
A detailed view of consumer bank transactions enabling lenders to incorporate frequency
of NSF, account frozen, and all other payment return codes in evaluating a consumer.
The data can be segmented based on date ranges or other parameters defined by the
lender.
is a complex analytical model using various data sources and derived data elements
including Loan Performance, Public Record Data, Bank/Payment Data, and IDV and Fraud
Data. All of which are amalgamated to generate a predictive risk score, enabling
customers to decision at a level that best reflects their underwriting policies.