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.

Download Now

Meet with Us at Hong Kong Fintech Week on November 4-8

Schedule a meeting with us for a demo and get a chance to win a pair of Bose QuietComfort 35 II Noise-Cancelling headphones. You can swing by our Stand #TBD and pick it up!

Schedule a Demo and Win Bose Headphones

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.

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“钱20/20”中国Money20/20 China 于2018年11月14日至16日举行,届时请与我们见面

请与我们安排演示的会议, 并有机会赢得一付 Bose QuietComfort 35 II 降噪耳机。
您可顺便转到我们的B30摊位领取获得的耳机!

请安排看我们演示,并赢得一付Bose耳机

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.

Download Now

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.

请现在下载

Can’t wait until an event to meet up? Contact us today for a live demo.