3 jobs for "Large Language Models (LLMs)"
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3 jobs for "Large Language Models (LLMs)"
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Data Scientist
Job role insights
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Date posted
February 24, 2026
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Closing date
February 24, 2026
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Hiring location
beijing
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Offered salary
Negotiable Price
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Career level
Senior
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Qualification
Bachelor Degree
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Experience
3 - 5 Years
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Gender
Other
Description
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.
THE ROLE 岗位职责:
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
WHAT WE OFFER 你将会获得:
- 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
WHAT YOU'LL BRING 你需要具备:
- 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
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Overview
WorldQuant, LLC is a global quantitative investment management firm headquartered in Old Greenwich, Connecticut. Founded in 2007 by Igor Tulchinsky, the firm originated as a spin-off from Millennium Management, where Tulchinsky had been a portfolio manager since 1995.
WorldQuant specializes in systematic, data-driven trading and portfolio construction, employing large-scale research, statistical methods, and artificial intelligence to develop predictive trading signals known as alphas. Over time, the firm has built one of the industry’s largest alpha libraries, supported by a global network of researchers, technologists, and portfolio managers.
Today, WorldQuant manages approximately $9 billion in assets for Millennium and operates more than 20 offices worldwide, employing over 1,000 professionals. Its model emphasizes continuous research, high-performance computing, and the large-scale integration of diverse data sources—from market feeds to alternative datasets—to build and refine trading strategies.
WorldQuant is also known for its global talent-development initiatives, including:
WorldQuant Challenge – an open competition enabling participants to build alphas through the firm’s WebSim platform.
WorldQuant Accelerator – a former independent portfolio manager platform offering access to the firm’s technology and tools.
WorldQuant University – a tuition-free online master’s program in financial engineering launched by the WorldQuant Foundation in 2015.
WorldQuant Ventures – Igor Tulchinsky’s separate venture arm investing in data, AI, and finance-related startups.
Through this integrated ecosystem of research, competition, education, and investment, WorldQuant positions itself as a leading contributor to the quantitative finance landscape, advancing systematic trading through scale, computation, and global collaboration.
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Categories
Company size
5000+
Founded in
2007
Location
Old Greenwich
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