Junior Quantitative Researcher, Equity

Job Description

Quantitative Researcher as part of a centralized alpha research team, focused on generating return prediction signals for systematic trading of global equities.

Location

Shanghai, China

Principal Responsibilities

• Apply quantitative research techniques to financial data to develop innovative predictive signals: this includes the full pipeline from idea generation, data gathering, research/analysis, through to signal implementation
• Deploy state-of-the-art statistical learning technologies and software packages
• Enhance technology toolset for research
• Collaborating with teammates in China to stay abreast of latest finance research and conduct new research

Preferred Experience

• No prior experience in the investment field is required; we will train you
• Bachelor, Master or Ph.D. degree in a quantitative subject such as Statistics, Computer Science, Machine Learning, Applied Mathematics, Engineering or related fields
• A track record of exceptional accomplishment in your field, including conducting original research

Required Technical Skills

• Strong statistical and machine learning skills and knowledge
• Strong programming skills in Python (Pandas, Numpy, etc.)

Preferred Technical Skills

• Working knowledge of Kdb/q is a plus
• Working knowledge of C++ is a plus
• Experience with machine learning packages (e.g. Sklearn, TensorFlow, PyTorch, etc.)

Highly Valued Relevant Experience

• Experience working with large and diverse datasets
• Experience applying NLP

Other Relevant Skills and Experiences

• Strong critical thinking ability
• Strong written and spoken communication skills in Mandarin
• Strong English language written and oral communication skills
• Self-motivated and dare to tackle difficult questions

Target Start Date

• As soon as possible

职位：初级量化研究员

工作内容

量化研究员，是alpha（阿尔法，创造超额利润）研究团队的一员，专注于为全球股票系统化交易提供回报预测信号。

地区

中国 上海

主要职责

• 将量化研究技术应用于金融数据，开发新的预测信号：这包括从构思、收集数据、研究/分析到开发预测信号的整个流程.
• 跟踪，学习并且应用最前沿的统计（机器）学习技术和软件包
• 更新补强团队里用于研究的技术工具
• 与组里同事合作，了解最新金融研究动态，积极开展创新型的研究

其他资历

• 不需有投资方面的经验，我们将培训你
• 统计学、计算机学、机器学习、应用数学、工程学或相关的学科学士、硕士或博士学位
• 有所在领域的卓越履历，包括原创研究

所需技能

• 很强的统计和机器学习技能和知识
• 很强的Python（Panda，Numpy等）编程技能

其他相关技能

• Kdb/q 的工作经验有加分
• C++ 的工作经验有加分
• 使用机器学习包的经验（例如，Sklearn，TensorFlow，PyTorch等）

高度有价值的相关经验

• 处理大型和多样化数据的经验
• 使用自然语言处理(NLP)的经验

其他相关技能和经验

• 较强的逻辑思考能力
• 较强的普通话书面和口头沟通能力
• 较强的英语书面和口语沟通能力
• 有上进心，勇于处理难题

目标开始日期

• 尽快