Quantitative Research Intern (NLP)

New York, NYinternshipOn SiteentryH1B: yes

Point72 Point72 is seeking a Quantitative Research Intern to join its NLP quant team to develop and test trading signals using natural language processing. The role involves feature construction, hypothesis formulation, and signal performance testing.

Responsibilities

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

Qualification

Bachelor’sPrior research experience preferredExperience with deep learningAn interest in financial marketsGreat attitudeA collaborative mindsetPrior research experienceData science stack familiarity

Required

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