Rong360 (Beijing Rong Century Information Technology Co., Ltd.), "Internet + Finance" typical industry, is a new network of financial services companies, the use of big data, search and other technologies, so that hundreds of banks' financial products can be visualized in front of the user.
On March 12, 2015, the leadership of the Securities and Futures Commission (SFC) visited Rong360, a search platform for financial products, to investigate the company's financing situation, intention to go public, and profitability model, and issued a clear invitation to Rong360: "I hope that Rong360, together with Ant Gold, will become the first batch of Internet financial companies to go public in China. the first batch of Internet finance startups to go public in China."
March 22, 2015, the news broadcast the first headline report on Internet finance, titled "Internet + finance plus out of the financing of high efficiency" under the title, the news report is 6 minutes long, describing the rapid development of Internet finance in China. The news report interviewed Yi Huiman, president of Industrial and Commercial Bank of China, and Ye Daqing, CEO of Rong360, a vertical search platform.
In May 2015, Rong360 launched the "Tianji" big data risk control system - through big data analysis, the system will be based on the three dimensions of identity authentication, willingness to repay and repayment ability to apply for a loan user scoring, based on the score to provide a cooperative institution to lend money. Based on the scores, the system will provide lending advice to partner organizations. For specific market segments, Rong360's goal is to strive for the fastest 10-minute approval and same-day disbursement for small loans of less than 50,000 yuan. In addition to the breakthrough in the speed of loan approval, the loan approval rate has also been significantly improved, the same type of users, with collateral, income flow proof of the crude traditional risk control methods, the loan approval rate of about 15%, while the use of big data models combined with manual approval rate can reach more than 30%.