Quantitative Research Intern (NLP)

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

Apply on Point72's site