Point72 / Cubist
Quantitative Research Intern (NLP)
Eligibility
- Candidate must be a Bachelor’s, Master’s, or PhD student in a quantitative field
Quantitative Research Intern role focusing on NLP-based signal development, requiring strong ML, data science, and software skills with interest in finance.
Responsibilities
- Using NLP to construct features from varied datasets
- Formulating research hypotheses to derive alpha
- Building and testing the performance of trading signals based on NLP and financial features
- Launching identified signals into production
Requirements
- Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline
- Proficient in Python and general software engineering principles (github, testing, dev workflow)
- Strong understanding of machine learning and statistics
- Prior research experience preferred
- Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
- Data science stack familiarity preferred
- An interest in financial markets
- Great attitude
- A collaborative mindset
- Commitment to the highest ethical standards
Skills
- Python
- Machine Learning
- NLP
- Software Engineering
- Deep Learning
- Data Science
- Employer posted
- Last checked