OJK and AFPI Soon to Have "Fintech Lending Data Center"

OJK and the Indonesian Joint Funding Fintech Association (AFPI) collaborated to release a fintech lending data center (Pusdafil) as an effort to reduce the level of fraud. This Pusdafil works like SLIK (Financial Information Service System)--formerly called BI Checking.

AFPI Deputy Chair Sunu Widyatmoko explained that Pusdafil was still in the process of being developed. The prototype is predicted to be released this year. At the same time, it is hoped that all p2p lending companies that have been registered with the OJK can participate and take advantage of the service.

"Conceptually similar to SLIK but this is special . A simple prototype [Pusdafil] should be [released this year]. Later, the control will be with AFPI and OJK," explained Sunu DailySocial.

Separately, quoted from CashOJK will pull all data related to transactions from all registered fintech operators. Then, OJK will process the data and inform AFPI through an information system platform.

Then, AFPI members can access the data center to check whether the prospective borrower is indicated to be fraudulent, has failed to pay, or is borrowing from more than one company.

Pusdafil support for lending companies

Sunu continued, there are three main things in the risk management of lending that can be supported by Pusdafil. First, indications of fraud (fraud). Fraud is a loan transaction that has not yet occurred. However, there was an attempt to apply using an ID card that was proven not to be registered with the Directorate General of Civil Registration.

Organizer lending can check through Pusdafil whether the prospective borrower has ever fraud or not. Indicated Candidates fraud will not be given a loan.

"How do we collect existing information from all platforms to avoid people who try to lie and attempt fraud, because fraud is a relatively high problem," said Sunu.

Second, a blacklist of borrowers containing people who do not pay their loans for more than 90 days. Even so, the borrower can get out of the list if he pays off his debt.

Third, examine borrowers who borrow from more than one fintech lending company. This data will be a consideration for a company to pass the person's loan application. Borrowers who borrow from more than one company can increase the risk of lending.