Tower Research Capital
Quantitative Trader Intern, PhD
New York +1 · Internship · Posted Jul 5, 2026
- Location
- New York
New York, NY, United States - Experience
- Availability for 4–6 months or a 10-week summer term; no years of experience specified.
- Education
- PhD student focusing on mathematics, statistics, physics, electrical engineering, computer science, economics, or related fields.
About the job
Designs and improves high-frequency trading algorithms and supporting tools, using market data analysis to identify patterns and enhance trading strategies.
What you'll do
- Design, implement, and deploy high-frequency trading algorithms; research and enhance strategies with a mentor.
- Analyze market data and microstructure for patterns, and create analytical tools and computation libraries.
- Develop, augment, and calibrate exchange simulators.
What they ask for
- PhD student in a listed field or a related field.
- Strong background in C++, R, Python, or an object-oriented programming language.
- Strong problem-solving, communication, and multitasking abilities in a fast-paced environment.
- Interest in financial markets and a passion for new technologies and ideas.
Nice to have
- Past industry experience
- Experience with machine learning
Pay
$3,500-5,700 USD weekly base salary
Tools
C++, R, Python
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