Quantitative Developer Intern - Summer 2027 Tower Research Capital · New York, United States 55[...]

Tradermath; New York (NY); Sur place; USD 182 000 - 296 000; Plein temps

Avantages offerts par ce poste

Housing accommodation

Free breakfast, lunch, and snacks

Networking events

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

C++

Python

Linux/Unix

Low-latency

Machine learning

Formation

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

Outils

FPGA

Exchange simulators

Description du poste

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/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

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.

Benefits:

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.