Quant Trader Intern - High-Freq Trading & ML (Summer 2027)

Tower Research Capital; New York (NY); On-site; USD 182,000 - 296,000; Full time

Benefits offered by this job

Competitive compensation package

Housing accommodation

Free breakfast, lunch, and snacks daily

Networking events

Mentorship opportunities

Job summary

Tower Research Capital, a leading quantitative trading firm based in New York, is seeking talented individuals to design and implement high-frequency trading algorithms. Candidates should be pursuing a degree in computer science, mathematics, or related fields with strong programming skills in languages like C++ and Python.

This position offers a competitive weekly salary and a comprehensive benefits package including housing accommodation and daily meals. Join us to work in a dynamic environment with opportunities for networking and mentorship.

Qualifications

• Pursuing a degree in computer science, mathematics, physics, electrical engineering, or related fields.
• Strong understanding of object-oriented programming languages.
• Interest in financial markets and new technologies.

Responsibilities

• Designing high-frequency trading algorithms.
• Analyzing market data for trading ideas.
• Creating analysis tools for data patterns.
• Developing exchange simulators.

Skills

Object-oriented programming

Problem-solving

Communication skills

Knowledge in financial markets

Education

Bachelor’s, Master’s, or PhD in relevant fields

Tools

C++

Python

Linux/Unix

Job description

Tower Research Capital, a leading quantitative trading firm based in New York, is seeking talented individuals to design and implement high-frequency trading algorithms. Candidates should be pursuing a degree in computer science, mathematics, or related fields with strong programming skills in languages like C++ and Python.

This position offers a competitive weekly salary and a comprehensive benefits package including housing accommodation and daily meals. Join us to work in a dynamic environment with opportunities for networking and mentorship.