Data Science Intern

Summary

Join WorldQuant as a Data Science Intern and contribute to the development of systematic financial strategies across various asset classes and global markets.

Requirements

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

Responsibilities

• Perform analysis and generate models of financial datasets using machine learning techniques
• Verify the integrity of unstructured data and turn data into potentially valuable insights
• Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques

Benefits

• Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship
• Top performers during internship may be eligible for a full-time offer
• Competitive internship compensation
• 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