Quantitative Research Internship - PhD: Summer 2027

About the role

This ten-week Summer 2027 internship offers PhD students and postdoctoral researchers hands-on experience in quantitative research for global financial markets. Interns analyze large datasets, develop and test models, build trading strategies, and evaluate simulated performance while learning alongside researchers, engineers, and traders in New York or Philadelphia.

Responsibilities and Experience

• Conduct quantitative research involving data analysis, statistical modeling, simulation, forecasting, and market-related problems.
• Develop models, convert them into trading strategies, and test performance against high-fidelity historical market data.
• Analyze results, refine hypotheses, and iterate through empirical experimentation and measurable performance feedback.
• Participate in the Blast Project, covering data analysis, modeling, implementation, simulated execution, and evaluation.
• Collaborate with research, engineering, and trading professionals while receiving mentorship and support from teaching assistants.
• Gain practical exposure to proprietary datasets, large-scale computing, machine learning, and quantitative trading concepts.

Program and Training

• Begin with Core Curriculum covering quantitative trading, programming, data analysis, mathematical modeling, machine learning, and artificial intelligence tools.
• Work with a mentor from the research or trading staff throughout the internship.
• Internship opportunities are available in New York and Philadelphia offices.
• Applicants are automatically considered for the Quantitative Systematic Trading Internship.