恒丰银行基于大数据技术,通过整合行内外数据形成统一的行业、地域、客户风险视图,逐步构建了全面风险预警系统,该风险预警系统主要分为基础数据层、基础技术服务层和应用层,实现了线上线下业务协同发展,同时利用大数据技术做好风险分类研究、风险实时监测及风险预测等工作。该系统在投产后,使新增信贷资产质量大幅提升,新增的网贷、平台贷授信业务发放效率显著提升,新增业务的客户贷前调查成本大幅降低,同时通过贷后监控和预警,有效地保障了业务的合规性。
<<Based on big data technology,Hengfeng Bank has formed a comprehensive risk early warning system by integrating internal and external data to form a unified industry,geographical and customer risk view. The risk early warning system is mainly divided into basic data layer,the basic technology service layer and application layer to realize the collaborative development strategy of online and offline business,and use big data technology to do risk classification research,real-time risk monitoring and risk prediction. After putting into production,the quality of new credit assets was greatly improved,the efficiency of new online loan and platform credit granting services was significantly improved,and the cost of pre-lending investigations for new business customers was greatly reduced. At the same time,through post-loan monitoring and early warning,it can effectively ensure the compliance of the business.
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