开发经理
互联网
传统金融
互联网金融
大数据
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使用machine learning构建金融大数据风控的最佳实践

VISA 决策分析高级经理

An experienced R&D scientist specialized in big data driven modeling and strategic analytics, performed development of big data analytics and machine learning for multiple national projects; Track record of providing valuable insight that reduces complexity, and an ability to quickly grasp parameters of new problems

== Experience ==
• 12 years of experience in mathematical modeling, prototyping, and algorithm development
• 10 years of hands-on experience on Linux, Cygwin/Windows, VMWare, and Mac OS X
• 3+ years of scientific computing experience on parallel supercomputers
• expertise in computer simulation, and discovery of the underlying law of particle interactions, as well as social network interactions towards business decisions
• solved business problems through data driven quantitative methodologies at Visa Labs, a problem solver
• experienced in driving context-based business intelligence, motivated in technology innovations

An experienced R&D scientist specialized in big data driven modeling and strategic analytics, performed development of big data analytics and machine learning for multiple national projects; Track record of providing valuable insight that reduces complexity, and an ability to quickly grasp parameters of new problems == Experience == • 12 years of experience in mathematical modeling, prototyping, and algorithm development • 10 years of hands-on experience on Linux, Cygwin/Windows, VMWare, and Mac OS X • 3+ years of scientific computing experience on parallel supercomputers • expertise in computer simulation, and discovery of the underlying law of particle interactions, as well as social network interactions towards business decisions • solved business problems through data driven quantitative methodologies at Visa Labs, a problem solver • experienced in driving context-based business intelligence, motivated in technology innovations

课程费用

6800.00 /人

课程时长

3小时

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课程简介

使用machine learning构建金融大数据风控的最佳实践

目标收益

互联网金融健康发展的核心是风险控制,其依托互联网获取用户的网上消费行为数据、通讯数据、信用卡数据、第三方征信数据等丰富而全面的数据,可以借助机器学习的手段搭建大数据风控系统。本课程将介绍使用机器学习构建金融大数据风控的最佳实践。

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课程内容

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