Chinese Woman Among 3 Arrested For Loan Apps Fraud In | Sidnaz Blog

<!–

–>

A crackdown against instant money lending apps firms has been launched in the state. (Representational)

Hyderabad:

In continuing crackdown on instant app-based lenders, the Telangana police said it has busted a Pune-based call centre allegedly used for harassing borrowers of online app firms for recovery and arrested three people, including a Chinese woman.

The three were arrested based on a complaint by a Hyderbad resident that he was harassed by the online loan app firms over repayment with higher rate of interest, the police said.

The action comes following the arrest of four people, including a Chinese national, on Friday for allegedly using coercive methods to recover dues from defaulters who had used 11 instant loan apps developed by them and availed loans.

The crackdown against instant money lending apps firms has been launched after three cases of suicides, including that of a software engineer, due to harassment by such companies were reported in Telangana in the last one month.

Those arrested in the latest action were the Director of the call centre in Pune, his wife a Chinese national, who is assisting him in running the company affairs, besides an HR Manager, Rachakonda Commissioner of Police Mahesh M Bhagwat said.

Newsbeep

Around 650 employees are working in the call centre who are instructed to use their personal mobile numbers to call the borrowers, their relatives, friends and insisting on repayment along with interest, the police said.

According to the police, the lending companies through instant loan apps offered loans to individuals and levied huge interest and processing charges among others and resorted to systematic abusing, harassing, threatening of the defaulters through the call centres.

They even blackmail the borrowers by sending fake legal notices to their relatives and family members.

Cases have been registered in various police stations in the state based on several complaints that these firms allegedly obtained sensitive data such as contacts, photographs from the mobile phones of the customers and using them to defame or blackmail to get the loan repayment.

Source link

Tagged : / /