Zaim Online

Last Updated: 16.08.2021. Date when the basic information was updated
Zaim Online
Loans Originated Total volume of loans issued by this company to borrowers since its founding.
€ 164.4 M
Loan portfolio Loans issued by the lending company to borrowers at the time of the most recent financial statement that are current or less than 60 days late.
€ 9.4 M
Buyback obligation A credit enhancement given by the lending company or other entity to the Issuer for a particular Set of Notes. If an underlying loan is more than 60 days late, the lending company is obligated to buy back the investment at nominal value plus accrued, outstanding or late interest. Usually, this means investors will be able to recover their investment in case of a borrower default.
Skin in the Game To ensure the interests of a lending company and investors are aligned, the company is required to keep a stake of each investment opportunity it offers through Mintos. This is called the company's skin in the game.
Average Interest % The weighted average interest rate of investment opportunities from this lending company.
Website:
Founded:
2012
Employees:
50
Joined Mintos:
August 2021
Annual percentage rate charged to borrowers:
38.5%-328.5%
Outstanding investments: Total volume of outstanding and available investments from this company on Mintos. Updated daily.
0

About

Pay P.S. (legal name Zaim Online) was founded in 2012 and initially started out as an online short-term loan issuer. In 2014, the company also launched an online ticket reservation system that was later connected with the lending side of the business. Since then, the company has also gained microfinance company (MFC) status, started issuance of point of sale loans and installment loans, and created a debt restructuring program for its clients during the Covid-19 pandemic in 2020. For 2022, the company aims to double its team size, significantly increase its web traffic, quintuple the active user count, and become one of the top 3 microfinance companies in Russia.

The company uses a proprietary big data algorithm based on internal analytics and external sources such as information from credit bureaus. Thanks to the use of such technology, the company shares that their clients - borrowers, can receive a decision upon their application in 30 seconds, and if approved - loans can be issued within 1 minute.

Last Updated: 16.08.2021

Last Updated: 16.08.2021

Last Updated: 16.08.2021