Hong Kong Fintech Week

香港金融科技周

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

通過機器學習打擊開戶和應用程式欺詐:零售銀行的藍圖

零售银行在开户时面临独特的挑战. 由于历史数据存在缺口,以及客户在不完整、缺乏连贯性数据的数字化体验不佳,存在”信用数据不足的问题”. 毫不奇怪,74% 的金融机构表示,正在进行多个独立项目以改善客户体验. 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.

银行如何在提高申请的同时减少欺诈?
富德智拥有一本新电子书,为克服开户挑战提供了切实可行的建议,并集成一个包含身份检查、资格风险评分和交易监控的风险管理蓝图

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在11月4日至8日的香港金融科技周与我们会面

请与我们预约会谈,观看演示,并有机会赢得一付博士牌Bose安静舒适35 II降噪耳机。可到我们富德智Feedzai的C09展位领取!

请与我们预约观看演示,并有机会赢得一付博士牌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.