As technology gradually empowers financial scenarios, major financial parties, including banks, are gradually developing risk control automation towards full line coverage. Therefore, at present, the audit model that focuses on big data risk control and is supplemented by manual audit has gradually become the mainstream in the industry. However, under the existing technical conditions, audit through big data will inevitably lead to misjudgment. , its flexibility It is not as flexible as manual review.
Therefore, some people may ask, if the loan application relies more on manual review, can the timeliness of the review be improved, or the success rate of the loan application be improved?
In fact, compared to big data review, manual review does have certain natural advantages. For example, effective feature libraries can be discovered and corrected in a timely manner in a short time, and problems can be quickly discovered for some individual cases during the risk management and control process.
For example, check whether the borrower's WeChat or Alipay account exists through the mobile phone number, or check the borrower's family and work details through photos with offline salespersons and loan officers. These information points of are actually the experience accumulated by the auditors at work, but they are difficult to be quantified and used in the big data audit process .
To a certain extent, if loan approval relies entirely on big data risk control, once the liquidity of the underlying data is too fast, it will easily make the risk control model built on this basis ineffective. This affects the accuracy of loan approval. Of course, with the continuous development of financial technology and means, perhaps such problems can be properly solved in the future.
So, returning to the question raised above, in the current process of loan application, can more use of manual review methods improve the approval rate?
In fact, whether the loan application is reviewed manually or by machine, the success rate of both is the same. Because banks have clear standards for loan application conditions, as long as the borrower meets the standards, whether it is reviewed by machine or manually, those that should pass will be passed, and those that do not meet the requirements will still be rejected.
As big data risk control models continue to mature, in order to improve efficiency, most loan approvals will rely more on machine review, especially some quantifiable data, such as age, credit report, job, quota, turnover, etc. .
Driven by process-oriented operations, generally speaking, when a borrower applies for a loan, the time from submission of information to loan review is mostly controlled within one month. Even for some medium and long-term credit products , the entire process takes a long time The longest period will not exceed half a year.
In general, if you want to improve the success rate during the loan application process, the most important thing is to maintain your own credit and actively submit true and valid information vouchers. Don't be too entangled in whether to go through manual or machine review. way . Of course, if you want to increase the bank's "favorability" with the borrower, you may try to apply for large term savings certificates, financial products, etc. at the applicant bank.
