Quantitative Research Intern (NLP)
Core
Develop and launch end-to-end trading signals using NLP methods, from data processing to performance testing.
Role type
Quantitative Research Intern (NLP)
Builds
Trading signals based on NLP and financial features
Domain
Finance / Natural Language Processing
Deliverable
production ML models
Required skills
Python, software engineering, machine learning, statistics, NLP
Preferred skills
deep learning, PyTorch, HuggingFace, LLMs, data science stack
Technologies
PyTorch, HuggingFace, LLMs
Responsibilities
Construct features from varied datasets using NLP, formulate research hypotheses to derive alpha, build and test performance of trading signals, launch identified signals into production
Seniority
Intern