WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
WorldQuant is seeking exceptional individuals to join the firm as a Data Science Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.
- Perform analysis and generate models of financial datasets using machine learning techniques
运用机器学习的方法分析并构建金融数据模型 - Verify the integrity of unstructured data and turn data into potentially valuable insights
验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见 - Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
应用各种算法技术开发并构建可尝试预测金融市场波动的数据
- Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship
完善的导师培训机制、一对一师从资深从业者 - Competitive internship compensation
有竞争力的实习薪资 - Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
国际化视野，与WorldQuant 全球各地多个团队共事、交流 - Flexibility of self-managed work progress, comfortable working environment, and rich employee activities
灵活自主安排工作进度，舒适的办公环境及丰富的员工活动
- Pursuing a Master's or PhD degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
正在攻读相关领域的硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等） - Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统 - Research experience in Deep Learning, NLP, and/or LLM is a plus
有深度学习、自然语言处理和/或大语言模型等研究经验者优先 - Good English reading and writing skills
良好的英语读写能力
If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at [email protected]
如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 [email protected]
The position is based in our research office in Beijing or Shanghai.
预期工作地点为北京或上海的研究办公室。
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Skills Required
- Pursuing a Master's or PhD degree in related fields
- Demonstrated ability of at least one programming language
- Research experience in Deep Learning, NLP, and/or LLM is a plus
- Good English reading and writing skills
WorldQuant Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WorldQuant and has not been reviewed or approved by WorldQuant.
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Healthcare Strength — Feedback suggests medical and dental coverage is fully paid for employees and dependents, indicating strong health benefits support. This breadth and cost coverage positions healthcare as a notable strength.
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Leave & Time Off Breadth — Feedback suggests paid time off is generous, with substantial vacation, personal days, and sick time described. The overall time‑off structure is portrayed as comprehensive.
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Parental & Family Support — Feedback suggests fully paid parental leave is provided. Family-oriented provisions complement core benefits to support caregiving needs.
WorldQuant Insights
What We Do
WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.
