Quantitative Research Intern

New York, NYinternshipOn SiteentryH1B: yes

Point72 Quantitative Research Intern on an NLP quant team developing end-to-end signals from data processing to performance testing. Responsible for using NLP to construct features, formulating research hypotheses, and building trading signals.

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