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We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.
Responsibilities may include:
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
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.
From Point72's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.