Low-Latency Quant Dev Intern - Summer 2027

Tradermath; New York (NY); Hybrid; USD 182,000 - 296,000; Full time

Benefits offered by this job

Housing accommodation

Free breakfast, lunch, and snacks

Networking events

Job summary

Tower Research Capital is seeking engineers to build and optimize low-latency trading systems and training pipelines in New York and Chicago. You will work closely with traders and researchers to create tools that analyze data and improve market insights across a scalable platform.

Ideal candidates are pursuing advanced degrees in CS/Math/EE with strengths in C++, Python, Linux, and ML, and have a passion for financial markets and new technologies.

Qualifications

• Pursuing Bachelor's/Master's/PhD in CS/Math/EE or related field.
• Proficient in object-oriented languages (C++ and Python preferred).
• Working knowledge of Linux/Unix.
• Strong problem-solving and multitasking in a fast-paced environment.
• Interest in financial markets and new technologies.

Responsibilities

• Architect and optimize low-latency trading and high-throughput training systems.
• Work extensively with traders and researchers.
• Create tools to analyze data for patterns.
• Make market observations and perform post-trade analysis.
• Develop, augment, and calibrate exchange simulators.
• Operate the team's high-frequency trading strategies.

Skills

C++

Python

Linux/Unix

Low-latency

Machine learning

Education

Bachelor's/Master's/PhD student in CS/Math/Phys/EE

Tools

FPGA

Exchange simulators

Job description

Tower Research Capital is seeking engineers to build and optimize low-latency trading systems and training pipelines in New York and Chicago. You will work closely with traders and researchers to create tools that analyze data and improve market insights across a scalable platform.

Ideal candidates are pursuing advanced degrees in CS/Math/EE with strengths in C++, Python, Linux, and ML, and have a passion for financial markets and new technologies.