Data Science Intern

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.

Requirements

• 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)
• Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
• Research experience in Deep Learning, NLP, and/or LLM is a plus
• Good English reading and writing skills

Benefits

• Competitive internship compensation
• Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship
• Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
• Flexibility of self-managed work progress, comfortable working environment, and rich employee activities