About this role
Role/Responsibilities:
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.
The annual base salary is $125,000-$200,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Company:
Point72
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)