WorldQuant
Data Science Intern
Eligibility
- Currently pursuing a Master's or PhD degree
- Interest in finance and global markets
An internship role for Master's or PhD students focused on applying machine learning techniques to analyze financial datasets and predict market movements, with mentoring and international collaboration opportunities.
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
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
Skills
- machine learning
- Python
- C++
- Linux/Unix
- Deep Learning
- NLP
- LLM
- Employer posted
- Last checked