Jobs · Sales · New York

Quantitative Research Intern (NLP)

Sullivan · New York, United States · Yesterday
SalesInternship
New York ROLE/RESPONSIBILTIES: 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 datasetsFormulating research hypotheses to derive alphaBuilding and testing the performance of trading signals based on NLP and financial featuresLaunching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative disciplineProficient in Python and general software engineering principles (github, testing, dev workflow)Strong understanding of machine learning and statisticsPrior research experience preferredExperience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferredData science stack familiarity preferredAn interest in financial marketsGreat attitudeA collaborative mindsetCommitment 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. 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Are you legally authorized to work in the United States?* Select... Will you now or in the future require sponsorship for employment visa status in the United States?* Select... Have you served in the military?* Select... Privacy * Select... By selecting “Yes” below, you consent to Point72 collecting contact information from your candidate application in accordance with our Privacy Policy. As stated in the Privacy Policy, Point72 may use and share this contact information to deliver advertisements or direct messages either directly or indirectly through third party services, including social media. Please review our Privacy Policy here for additional information. I Accept: Note to Hiring Manager: Responsibilities May Include: Using NLP to construct features from varied datasetsFormulating research hypotheses to derive alphaBuilding and testing the performance of trading signals based on NLP and financial featuresLaunching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative disciplineProficient in Python and general software engineering principles (github, testing, dev workflow)Strong understanding of machine learning and statisticsPrior research experience preferredExperience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferredData science stack familiarity preferredAn interest in financial marketsGreat attitudeA collaborative mindsetCommitment 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. By selecting “Yes” below, you consent to Point72 collecting contact information from your candidate application in accordance with our Privacy Policy. As stated in the Privacy Policy, Point72 may use and share this contact information to deliver advertisements or direct messages either directly or indirectly through third party services, including social media. Please review our Privacy Policy here for additional information.

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