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招聘: Quantative Analyst /Data Scientist-新加坡

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  •   ITrecruit1 · 2021-05-02 04:43:05 +08:00 · 1027 次点击
    这是一个创建于 1112 天前的主题,其中的信息可能已经有所发展或是发生改变。
    FinTech 社区是一个拥有 50,000+ 会员的金融科技社群,旨在为金融科技行业赋能,致力于金融科技行业资源共享社群。我们目前有机器学习群,技术群,量化群,校招群,数据开发群等等。

    简历邮件: [email protected]

    微信公众号:FinTech 社区

    微信号:fintech78

    官网:www.fintechgl.com


    量化 VS 互联网视频链接:
    https://mp.weixin.qq.com/s/Mh5RL0BuYru9FuC1KmyAjQ


    [FinTech 社区] Quantative Analyst /Data Scientist-新加坡

    大家好,我是 Lucy@FinTech 社区,今天招聘职位是 Quantative Analyst (机器学习)/Data Scientist (机器学习)。


    公司:知名区块链公司

    地点:新加坡 (可办签证)

    年薪:高于头部互联网公司

    推荐奖:1 万


    一、招聘:Quantative Analyst (机器学习)

    关键词:3 年以上量化分析+机器学习

    Responsibilities:
    Work on large scale unstructured data with data science techniques to extract insights to the model financial market and advise team on identifying strategic trades in the financial markets.
    Apply feature engineering on financial market data, social media data, blockchain data, and market trends.

    Requirements:
    Minimum 3 years of working experience in the machine learning field.
    Proficient in Python/C++, and working with databases like SQL, ElasticSearch.
    Experience in time series forecasting, anomaly detection, user categorization will be advantageous.


    二、招聘:Data Scientist (机器学习)

    关键词:数据科学 区块链 机器学习

    Responsibilities:

    Feature engineering on financial market data, blockchain data and market trends.
    Research market data with the purpose of monitoring user’s behaviors and detecting abnormal trading behaviors, so as to maintain and enhance a secure, fair and healthy trading environment.
    Develop risk management and monitoring system to ensure the platform’s daily operation.

    Requirements:
    Experience in machine learning applications in financial market data, preferably in pattern recognition, anomaly detection. Familiarity with unsupervised algorithms.
    Familiar with various visualization tools, the ability to develop an interactive visualization system is a plus.
    Proficiency in Python/C++/Java/R, and working with databases like SQL/ElasticSearch.


    简历邮箱: [email protected]

    命名:姓名+职位

    微信:fintech78
    3 条回复    2021-05-02 17:28:13 +08:00
    leimao
        1
    leimao  
       2021-05-02 07:32:51 +08:00
    新加坡好,税比较低。但是金融就是很无聊。
    whileFalse
        2
    whileFalse  
       2021-05-02 07:34:53 +08:00
    挺喜欢新加坡的,不过我觉得这两年可能不是去新加坡的好时候。
    就印度那玩意儿,估计今年底之前南亚就沦陷了……
    yazoox
        3
    yazoox  
       2021-05-02 17:28:13 +08:00
    @leimao 无聊?此话怎讲?
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