Data Science Intern

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