Pre-lending marketing: 1, existing customer development, new customer development;
2. Pre-approval and application scoring;
3. Pre-approval, customer visit and pre-credit line evaluation.
Loan approval: 1, fraud screening, anti-fraud monitoring;
2. Apply for reclassification;
3. Credit approval.
4. Loan pricing.
Post-loan management: 1, behavior scoring model;
2. Quota management;
3. Risk early warning and advance collection;
4. Collection scores and collection strategies.
At present, the online speed of loan approval has achieved a breakthrough, and the loan approval rate has also been significantly improved. For the same type of users, the loan approval rate is about 15% by using extensive traditional risk control methods such as collateral and income proof, while the approval rate can reach more than 30% by using big data model combined with labor. As for the loans overdue rate, taking the default risk of 12 months as an example, the overdue rate of users screened by the China online loan approval model is half lower than that of users not screened.
Shenzhou Rong is the first Internet finance enterprise to make efforts in the big data risk control system. At the same time, some P2P online lending platforms under Sesame Credit and Ant Financial have begun to develop big data credit evaluation models.