Tower Research Capital
Quantitative Developer Intern - Summer 2027
Eligibility
- Current student in Bachelor’s, Master’s or PhD program
- Interest and/or coursework in programming, finance, or quantitative fields
A summer 2027 Quantitative Developer internship in New York and Chicago for students in CS, mathematics, or related fields focusing on low-latency trading systems, data analysis, market observations, and hands-on trading strategy operation.
Responsibilities
- Architect and optimize performant low-latency trading and high-throughput training systems
- Work extensively with traders and researchers
- Creating tools to analyze data for patterns
- Make market observations and conducting post-trade analysis
- Developing, augmenting, and calibrating exchange simulators
- Operate the team’s high-frequency trading strategies
Requirements
- Bachelor’s, Master’s, or PhD student
- Majoring in computer science, mathematics, physics, electrical engineering, or related fields
- Proficient in an object-oriented programming language (C++ and Python preferred)
- A working knowledge of Linux/Unix
- Strong problem-solving abilities
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Interest in financial markets
Skills
- C++
- Python
- Linux/Unix
- Problem-solving
- Employer posted
- Last checked