Junior Quantitative Researcher, Equity

Shanghai, Shanghai, China Until 8/22/2026 First posted March 31, 2025 Last posted March 31, 2025
Job description
Junior Quantitative Researcher, Equity

Please send resume submissions to china.quant.talent@mlp.com and reference REQ-11391 in the subject line.

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

Please send resume submissions to china.quant.talent@mlp.com and reference REQ-11391 in the subject line.

请将履历电邮至china.quant.talent@mlp.com 引用邮件主题行中加入 ‘REQ-11391’

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

请将履历电邮至china.quant.talent@mlp.com 引用邮件主题行中加入 ‘REQ-11391’

About this role

Summary

Develop predictive signals for systematic trading of global equities.

Job title

Junior Quantitative Researcher, Equity

Experience level

entry level

Industry

finance

Location requirements

Located in Shanghai, China; remote work not allowed.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

statisticalmachine learningpythonpandasnumpy

Preferred skills

kdb/qc++sklearntensorflowpytorchnlp

Specializations

quantitativefinancemachine learningstatisticsprogramming
Locations

Structured locations inferred from the posting.

Shanghai, China

On-site City
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