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 Scientist. 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
- Competitive compensation
有竞争力的薪资 - Join our established mentoring program and receive one-on-one guidance by an accomplished advisor
完善的导师培训机制、一对一师从资深从业者 - 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, rich employee activities, and generous employee benefits
灵活自主安排工作进度，舒适的办公环境、丰富的员工活动及优渥的员工福利
- Pursuing a B.S., M.S. or Ph.D. 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本科、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） - Candidates should be graduating in 2025 or 2026
候选人需于2025年或2026年毕业 - 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 NLP, Deep Learning is a plus
有自然语言处理、深度学习、人工智能等研究经验者优先 - 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。
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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.
Top Skills
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.
