About the role#
This is a full-time, paid internship for Summer 2027. You will work on-site in either New York or Chicago, contributing to the development of high-frequency trading strategies and infrastructure.
What you'll do#
- Design, implement, and deploy high-frequency trading algorithms.
- Explore trading ideas by analyzing market data and market microstructure to identify patterns.
- Create tools for data analysis and contribute to libraries of analytical computations.
- Develop, augment, and calibrate exchange simulators.
What you'll need#
- Current enrollment in a Bachelor’s, Master’s, or PhD program.
- Major in computer science, mathematics, physics, electrical engineering, or a related field.
- Proficiency in an object-oriented programming language, with a preference for C++ and Python.
- Working knowledge of Linux/Unix environments.
- Strong problem-solving abilities.
Location & details#
- Locations: New York, New York and Chicago, Illinois.
- Term: Summer 2027.
- Modality: On-site.
- Employment type: Full-time.
About Tower Research Capital
Tower Research Capital operates as a quantitative trading firm. It maintains a platform for independent trading teams to identify market opportunities. The company started in 1998 and maintains its headquarters in New York City. It employs approximately 1,200 people across more than a dozen global offices.
How to get in at Tower Research Capital
Applying early to Tower Research Capital gives you a distinct advantage because recruiters review applications before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can be among the first to submit your materials. This timing often makes the difference between being seen and getting lost in a high volume of submissions. You can also improve your response rates by reaching out to the recruiters behind the company's roles directly to ask about the position or a referral. Intern Insider surfaces these specific contacts for you, which helps you move beyond the standard application queue and connect with the people actually making the hiring decisions.
