2. In many loan contracts, the car loan will indicate the calculation method of liquidated damages for early repayment, which can refer to the contract;
3. Contact the loan specialist through the official WeChat account of the car loan and ask them what the penalty for prepayment of the car loan is.
After introducing the content of liquidated damages, Xi Cai Jun will introduce the specific methods of prepayment.
1. Log in to the car loan official website through the computer, find the order that needs to be returned in advance in the personal loan account, and return the remaining loan principal, interest and prepayment penalty according to the amount prompted by the system.
2. Download and log in to the car loan mobile APP, enter your own loan account, find the loan order to be returned in advance in the order column, and select all repayment.
3. Contact the account manager who provides services for himself and make repayment at the offline business outlets of the car loan.
Extended data:
At present, a set of risk control management mechanism including credit risk management and credit management system has been established for auto loans. It includes a central risk control mechanism that runs through the whole process before, during and after the credit granting, and adopts a periodic risk management mode to dynamically monitor customer information in an all-round and uninterrupted way through the "three lines of defense" of the regular business department, the approval risk control center and the risk control department.
In addition, the advantages of big data accumulated in 1 1 year have innovated the risk control model, and used the leading technology of the international consumer credit industry for reference to continuously optimize our risk control model, so that customers can get more evaluation in the model and continuously improve the central risk control management mechanism of credit risk management and credit management system.
At the same time, the scorecard model used by Ping An in inclusive finance draws lessons from the leading technology of the international consumer credit industry, combines its own accumulated business data for many years, and comprehensively evaluates customer risks based on credit records, customer natural attributes and third-party big data information.