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

• Iterating quickly with on-site quantitative researchers on research processes to improve the P&L of the desk’s quantitative trading strategies
• Developing Python tools used across the research process
• Designing full-stack workflows with quantitative researchers to help evaluate and improve on trading strategies

Qualifications

• Final-year bachelor's or master’s student in computer science, engineering, applied mathematics, or a related field
• Availability for a 10-week internship
• Strong interest in quantitative finance and software development
• Solid foundation in Python programming, with exposure to libraries such as NumPy, Pandas, or Polars through coursework or personal projects
• Demonstrated curiosity, problem-solving ability, and a desire to grow in a fast-paced, collaborative, and intellectually demanding environment
• Good communication skills and willingness to work as part of a distributed team
• Exposure to C++ and/or scripting languages (e.g., Bash) is a plus
• Interest in learning about large-scale systems, workflow orchestration, and production-grade software engineering practices

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
• Free breakfast, lunch, and snacks daily
• Exciting networking and social events

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.