Campus Quantitative Researcher (Off-Cycle - Winter/Spring 2027 Intern)
Core
Build predictive models from big data and develop algorithms to automatically execute trades in dozens of global financial exchanges.
Role type
Off-cycle quantitative research intern (quant researcher / data scientist / trader / software developer)
Builds
Automated trading strategies and predictive models tested against world-class competition
Domain
Global financial markets / quantitative trading
Deliverable
production ML models
Required skills
Machine learning, statistics, data mining, mathematics, programming (Python, C++)
Preferred skills
Background in Computer Science, Mathematics, Physics, Electrical Engineering, Statistics, Neuroscience, Materials Science, Operations Research
Technologies
Python, C++, supercomputers
Responsibilities
Contribute to a blend of quant researcher, trader, and software developer roles; apply skills in machine learning, trading/market mechanics, and statistics; help build predictive models; devise automated trading strategies
Seniority
Intern (Off-cycle Winter/Spring 2027)