Low-Latency Quant Developer Intern

Tower Research Capital; New York (NY); On-site; USD 159,250 - 259,350; Full time

Benefits offered by this job

Housing accommodation

Free meals

Networking events

Mentors from senior management

Learning opportunities

Job summary

Tower Research Capital is a leading quantitative trading firm hiring student developers to work on its high-performance trading and research platforms in New York and Chicago. You will contribute to low-latency infrastructure, FPGA acceleration, and ML-enabled tooling alongside experienced engineers.

Ideal candidates are pursuing a Bachelor’s, Master’s, or PhD in CS, Math, Physics, or EE, with strong C++ and Python skills, Linux proficiency, and a passion for financial markets.

Qualifications

• Pursuing a bachelor’s, master’s, or PhD in a STEM field.
• Strong programming skills in C++ and Python.
• Familiarity with Linux/Unix environments.
• Excellent problem-solving and communication abilities.
• Interest in financial markets and trading.

Responsibilities

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

Skills

C++

Python

Linux

Problem solving

Communication

Financial markets interest

Education

Bachelor’s, Master’s, or PhD student

Majoring in computer science, mathematics, physics, electrical engineering, or related fields

Job description

Tower Research Capital is a leading quantitative trading firm hiring student developers to work on its high-performance trading and research platforms in New York and Chicago. You will contribute to low-latency infrastructure, FPGA acceleration, and ML-enabled tooling alongside experienced engineers.

Ideal candidates are pursuing a Bachelor’s, Master’s, or PhD in CS, Math, Physics, or EE, with strong C++ and Python skills, Linux proficiency, and a passion for financial markets.