Quantitative Trader Intern, PhD

Tower Research Capital is recruiting for Quantitative Trader Intern, PhD in New York. This listing was last seen on the firm's own job board on August 22, 2026.

A federation of independent high-frequency teams, so the hiring bar and the culture vary by desk.

What sets Tower Research Capital apart: Independent trading teams with their own hiring standards. Latency engineering weighted heavily across most desks. Large India presence through its Gurgaon office.

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The role, as Tower Research Capital describes it, published on July 5, 2026 and reproduced from their job board:

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:

Designing, implementing, and deploying high-frequency trading algorithms

Working with a dedicated mentor to research and enhance existing trading strategies

Exploring trading ideas by analyzing market data and market microstructure for patterns

Creating tools to analyze data for patterns

Contributing to libraries of analytical computations to support market data analysis and trading