Tower Research Capital
Quantitative Developer Intern - Summer 2027
New York, Chicago +2 · Internship · Posted Jul 5, 2026
- Location
- New York, Chicago
Chicago, IL, United States
New York, NY, United States - Education
- Bachelor’s, Master’s, or PhD student majoring in computer science, mathematics, physics, electrical engineering, or related fields.
About the job
Develop and operate low-latency trading and high-throughput training systems, supporting quantitative research and high-frequency trading strategies.
What you'll do
- Architect and optimize low-latency trading and high-throughput training systems; work with traders and researchers.
- Create tools to analyze data, make market observations, and conduct post-trade analysis.
- Develop and calibrate exchange simulators and operate high-frequency trading strategies.
What they ask for
- Be a bachelor’s, master’s, or PhD student majoring in computer science, mathematics, physics, electrical engineering, or a related field.
- Be proficient in an object-oriented programming language.
- Have working knowledge of Linux/Unix.
- Have an interest in financial markets and strong problem-solving, communication, and task-management skills.
Nice to have
- C++ and Python.
- Past industry experience; Teaching Assistant experience or participation in relevant Olympiads; or familiarity with machine learning, data analysis, market research, and data modeling.
Pay
USD $3,500-5,700 weekly base salary
Tools
C++, Python, Linux/Unix
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