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A quantitative trading firm made of independent trading teams on one platform.

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About Tower Research Capital

The company, in brief.

What they do

Tower Research Capital is a quantitative trading firm. It is made of dozens of trading and research teams. Each team builds its own strategies, in any market and asset class. Tower gives the teams a shared platform for market access, data, compute, research, risk, and compliance. Mark Gorton founded Tower in 1998. It also does liquidity provision and venture investing.

What they value

  • Excellence: high standards and pride in the work.
  • Respect: productive, solution-focused dialogue.
  • Innovation: be nimble, and keep learning.
  • Integrity: do the right thing, truthfully and ethically.
  • Teamwork: independence, with collaboration where possible.

Where they hire

Most roles are in New York, Singapore, Gurgaon, Montreal, London, and Hong Kong. Others are in Chicago, Shanghai, Sydney, GIFT City, and Paris. No role is remote. Most postings offer hybrid work. One asks for three or more days in the office. Most Montreal postings are in French and English. No posting mentions visa sponsorship.

Teams and roles

Quantitative research and trading is the largest group, with 26 of 91 roles. Campus recruiting has 13. Infrastructure has ten.

  • Trading teams: quantitative traders, researchers, and developers build low-latency trading systems and test strategies. Gurgaon has a low-latency developer, a Python developer, and a quantitative developer.
  • Campus: 2027 graduate and intern roles for quantitative traders, researchers, and developers in New York, Chicago, London, Montreal, Paris, and Asia.
  • AI and machine learning: engineers build agentic coding tools, deep learning models, and GPU systems for training and inference.
  • Infrastructure: systems, network, data center, and platform engineers, and information security in Gurgaon and Montreal.
  • Trading support: a central trading analyst in GIFT City watches trading systems in Indian market hours. A Gurgaon role supports digital asset trading.

US roles give pay ranges, such as $200,000 to $300,000 for a machine learning research engineer in New York.

What they look for

Most roles ask for Python, and about half ask for C++ and Linux. Most ask for a degree in computer science or a related field. Research and AI roles often ask for a PhD, statistics, or machine learning. Experienced roles ask for two to five years. Graduate roles ask for up to two years. Several roles say that you do not need finance or trading experience. Experienced traders must bring a profitable strategy with a real track record. Some roles ask for fluent English.

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