Quantitative Developer Intern - Summer 2027
tower research capitalChicago (IL)
$3,500-5,700
Apply (opens in a new tab)Quantitative Developer Intern - Summer 2027
Posted 7 days ago
tower research capitalChicago (IL)
SENIORITY
Junior
SALARY
$3,500-5,700
About the role
Quantitative Developer Intern - Summer 2027 Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
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
Qualifications:
- 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/UnixStrong 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
Preferred Qualifications:
- (not required):Past industry experience
- Experience as a Teaching Assistant and/or participation in relevant Olympiads
- Familiarity with machine learning, data analysis, market research and data modeling
Anticipated New York and Chicago weekly base salary range $3,500-5,700.Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include:
- Competitive compensation package
- Housing accommodation
- Free breakfast, lunch, and snacks daily
- Exciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes)
- Opportunities to learn from senior management across the firm
- Mentors from your alma mater and other top institutions
At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.
Tower Research Capital is an equal opportunity employer.
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