In the field of consumer finance, it is generally divided into three links: pre-loan, loan, and post-loan. Fraud identification and credit evaluation are two crucial points. Big data risk control platform Shenzhourong believes that Internet consumer finance faces two major risks.

The first is operational risk, which mainly includes fraud losses caused by customer fraud and risks caused by information system operational errors, defects and attacks;

The second is credit risk , mainly due to direct losses caused by subprime credit groups.

This requires paying more attention to risk control when developing Internet consumer finance business, by formulating and designing more scientific risk control policies and risk models, and establishing powerful credit scoring and decision-making systems, anti-fraud systems, and collections management system, while strengthening the independent research and development capabilities of core information systems, strengthening system security monitoring and internal control management, and achieving risk controllability, controllability, and ease of control. These two risks can be effectively reduced through big data risk control, thereby recovering unnecessary losses.