Quantitative Trader – High-Frequency Trading

Job Description

Quantitative Trader Intern – Summer 2027 | Tower Research Capital

The Tone:
This is an internship at Tower Research Capital, located in New York, NY / Chicago, IL. Tower Research Capital is a leading quantitative trading firm that builds its business on a high-performance platform and independent trading teams. This role is essential for exploring new market opportunities, developing advanced algorithms, and enhancing the firm’s systematic trading capabilities through rigorous data analysis and simulation. Interns contribute directly to the firm’s track record of innovation and discovery.

The TL;DR
• Role: Internship
• Type: Seasonal
• Location: In-person, New York, NY / Chicago, IL
• Pay: $3500–$5700 weekly
• Mission: This person will be responsible for enhancing Tower Research Capital’s trading strategies and analytical capabilities by designing algorithms, analyzing market data, and developing simulation tools.
• Tech Stack: C++, Python, Linux/Unix, FPGA technology, hardware acceleration, machine learning

What You’ll Actually Do
• Algorithm Design: Design, implement, and deploy high-frequency trading algorithms.
• Market Analysis: Explore trading ideas by analyzing market data and market microstructure for patterns.
• Tool Development: Create tools to analyze data for patterns.
• Library Contribution: Contribute to libraries of analytical computations to support market data analysis and trading.
• Simulator Development: Develop, augment, and calibrate exchange simulators.

The Must-Haves
• Background: Bachelor’s, Master’s, or PhD student majoring in computer science, mathematics, physics, electrical engineering, or related fields.
• Skills: Proficiency in an object-oriented programming language (C++ and Python preferred), a working knowledge of Linux/Unix, strong problem-solving abilities, strong communication skills, the ability to manage multiple tasks, and an interest in financial markets.
• Bonus: Past industry experience, experience as a Teaching Assistant and/or participation in relevant Olympiads, and familiarity with machine learning, data analysis, market research, and data modeling.