Hong Kong Fintech Week
“钱20/20”中国 2018
Fighting Account Opening and Application Fraud with Machine Learning: A Blueprint for Retail Banks
Retail banks face unique challenges at the point of account opening. There’s a “thin-file problem” due to gaps in historic data, and bad digital experiences as customers travel between silos. It’s no surprise that 74% of financial institutions stated having multiple independent projects underway to improve customer experience.
How can banks increase application acceptance while also reducing fraud? Feedzai has a new ebook with practical advice for overcoming the challenges of account opening, with a risk management blueprint that integrates identity checks, eligibility risk scoring, and transaction monitoring.
使用机器学习打击开户和应用欺诈:零售银行服务蓝图
零售银行在客户开户时面临着独特的挑战。所存在的”薄檔(信用档案中的信息很少)问题”
是由于银行所拥有的历史数据的差距，以及客户在使用个别独立银行间的不良数字体验.
因此难怪已有74%金融机构表示已有多个独立项目正在进行，以改善客户体验.
银行如何能提高申请接受度同时减少欺诈？富德智有一本新的电子书, 提供切实可行的建议,以克 服开户时面临的挑战, 电子书中的风险管理蓝图中提供集成身份检查、资格风险评分和交易监控.