Kunshan Rural Commercial Bank: Empowering by Science and Technology, Remolding the Traditional Credit Review Mode with Smart Office.

Technology has become the "golden key" to drive finance. In 2

Kunshan Rural Commercial Bank: Empowering by Science and Technology, Remolding the Traditional Credit Review Mode with Smart Office.

Technology has become the "golden key" to drive finance. In 2020, Kunshan Rural Commercial Bank put forward a characteristic strategy of "digitalization", "intelligence" and "lightness", and applied big data to promote bank credit approval from manual to intelligent. On June 4th, Kunshan Rural Commercial Bank's "Investigation Report Automation" project was officially launched, which started the prelude of "Intelligently reshaping the traditional credit review mode". The purpose of this project is to collect internal and external information by using big data platform, remove the false from the true through data processing, automatically fill the verified data into the investigation report, reduce the workload of account managers, and establish an auxiliary model for credit review and approval.

Collect external data sources and outline the "panorama" of customers. The advent of the information age has spawned third-party data platform companies, but most platforms are isolated from each other and cannot be interconnected. In order to fully grasp the customer information, credit officers often need multi-party inquiry, manual analysis and comprehensive judgment to make decisions. "Investigation Report Automation" project uses intelligent risk control platform to access data from all parties, and through background screening and calculation, effective data is extracted into the investigation report, avoiding multi-platform query by credit personnel. At the same time, the system realizes the automatic data entry and reduces the workload of the account manager. This project brings together customer information, business information, financial information, related information, risk information and credit information, realizes the panoramic portrait of customers and breaks the information island effect.

Clear the relationship and avoid multiple credit lines and repeated financing. In order to achieve industrial extension, cross-industry investment and business diversification, modern enterprises often set up groups and affiliated enterprises to achieve financial independence and risk isolation. At the same time, it also causes risks such as multiple credit lines and repeated financing to bank credit. In view of this risk, the project loaded the "affiliated list", customized the equity penetration model by using the third-party data platform, and automatically obtained the actual controllers of the borrowing enterprises and their affiliated enterprises. At the same time, the system automatically matches the credit line of the borrower and its related parties in the bank according to the obtained association list. Credit granted by affiliated enterprises shall be included in the unified credit granted by group (affiliated) customer management.

Summarize negative information and realize "one-stop" physical examination. This project focuses on sorting out negative information channels, including abnormal operation, lawsuit-related, executed person, untrustworthy person, restriction on high consumption, administrative punishment, equity pledge, freezing, asset pledge, bad credit reporting, bank black list and so on. Through integrated calculation, we can avoid duplication and omission, realize the "one-stop" physical examination of customers, and provide an accurate benchmark for credit review and approval.

Modular reporting and distributed configuration. The traditional automated investigation report is an integrated template, and any changes need to modify the entire template code. However, with the intensification of banking competition and the arrival of the information age, the survey report template will also be updated, and the integrated template cannot be modified quickly to cope with the market. The survey report template of this project is modular and configurable. The report template is divided into industry, credit scheme and guarantee mode, which realizes the switching and configurability between different industries, different credit schemes and different guarantee modes, and facilitates the update and adjustment of individual modules.

Since the project was put into production, the automation coverage rate has reached more than 80%, the report writing efficiency of credit personnel has been improved by more than 1 times, and the ability of risk disclosure and risk prevention has been effectively improved. The credit reporting automation project is an important step for Kunshan Rural Commercial Bank to transform into a digital, intelligent and lightweight bank.

Lihua Chen