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liuyuanyuan
V2EX  ›  酷工作

[wecash 闪银] 招 [Data Scientist ] BASE:美国

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  •   liuyuanyuan · 2018-07-19 11:22:08 +08:00 · 1571 次点击
    这是一个创建于 2318 天前的主题,其中的信息可能已经有所发展或是发生改变。
    中国领先的大数据信用评估平台闪银 Wecash,通过先进的风控技术撮合金融机构、服务提供方和个人消费者,帮助金融机构降低风险,帮助消费者更轻松便捷享受到更好的服务。解决了传统金融风控“周期长”“门槛高”“资料繁琐”“脸难看”“事难办”等弊端,闪银在数秒内完成信用决策,并在 15 分钟内撮合用户与金融机构,让这个周期缩短至分钟,用户体验得到了极大的提升。

    闪银成立于 2014 年 4 月,互联网金融行业发展之初,成立以来实现了每年以 10 倍的高速增长。闪银的业务并未选择互金创业风口做 P2P,而是卡住了行业发展的关键路径,从互联网数据信用评估切入业务。闪银依靠创新的业务模式和自主研发的风控技术,累计为超过 8000 万用户匹配了来自 50 家金融机构的超过 150 亿元的金融服务,信用评估体系完成累计超过 40 亿次的数据调用。闪银研发的大数据风控系统先后获得毕马威、德勤、世界银行等知名机构的认可,闪银被选入了埃森哲亚太区金融技术创新实验室,德勤评选的“明日之星”并获得了毕马威颁发的 Fintech 全球金融科技创新 50 强等荣誉称号。

    公司地点:北京市朝阳区农展馆南路 13 号瑞辰国际中心 [总部]
    职位 BASE:美国旧金山
    乘车路线:10 号线团结湖 B 口出,东行 500 米
    投递邮箱: [email protected]

    欢迎有意向的伙伴积极投递简历,人力资源部将在第一时间和你取得联系,请耐心等待我们的沟通电话
    如有疑问欢迎加微信沟通 18211082613 小石头

    Responsibilities will include:

    - Lead and manage the data science team and work closely with product and engineering team to integrate the credit risk models into the product flows

    - Research and develop the algorithms and models for efficiencies and cost reductions on different stages including user acquisition, loan application, loan behavior and collection.

    - End to end hands-on ownership of machine learning systems deployable across various projects including data pipelines, model training, and model monitoring.

    - Provide the analytical/quantitative input to develop, document, implement and monitor the build of complex consumer credit risk loss forecasting, reserve, and capital models.

    - Execution with precision and working to manage internal and external dependencies to deliver quality model on time and on budget.

    - Creates and sustains an environment of ingenuity and creativity and challenges the status quo to encourage innovation



    Skills Required:

    - Advanced degree (M.S. or PhD) in a quantitative discipline, e.g., economics, statistics, mathematics, computer science, engineering or finance

    - At least 2 year's experience working in a field using machine learning and other predictive modelling techniques, engineering, statistics, mathematics etc.

    - Senior stakeholder engagement and effective line management experience

    - Strong attention to detail

    - Tech savvy, Problem solver

    - High degree of self-confidence, humility and energy for using data and algorithm to drive underwriting decisions

    - Good communication skills (verbal, writing, presentation) in both Chinese and English, with Portuguese preferred
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