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Tower Research Capital
Actively Hiring
A trading and technology company

Quantitative Trader (2025)

Posted: 4 months ago
Visa Sponsorship

Not Available

RelocationAllowed

About the job

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quantitative Trader to join our team. Founded in 1998, Tower Research Capital LLC is a leader in the thriving field of quantitative trading. Working at Tower means collaborating with bright minds from around the world to create cutting edge-technology and tackle challenging technical problems. We’re engineers and pioneers who use scientific principles to identify market opportunities and who think Mondays look better in jeans and a t-shirt than in a suit and tie.

Our traders execute lightning-fast algorithmic strategies based on patterns in market behavior in over 150 markets worldwide. As a Quantitative Trader, you’ll draw on your knowledge of mathematics, computer science and statistics to uncover patterns in vast amounts of financial data and deploy profitable trading strategies to markets around the world.

Your responsibilities may include any of the following, which will require you to exercise discretion and independent judgment:

  • Designing, implementing, and deploying high-frequency trading algorithms
  • 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
  • Developing, augmenting, and calibrating exchange simulators
  • Communicating with internal and external trade support, market centers, and other parties to handle real-time trading issues and improve understanding of specific markets
  • Shaping the future of Tower through regular interviewing and infrequent campus recruiting trips

Who you are:

You are talented, driven, and hungry for a challenge. You believe that there’s no limit to what we can accomplish together in a creative, collaborative setting which pairs passion with brilliance. If you refuse to settle for a career that offers anything less, we want to meet you!

Additional requirements include:

  • A Bachelor’s, Master’s, or PhD degree in computer science, mathematics, physics, electrical engineering, or related fields
  • 0-2 years of experience
  • Proficient in an object-oriented programming language (C++ and Python preferred)
  • A working knowledge of Linux/Unix
  • Past industry experience (a plus)
  • Experience as a Teaching Assistant and/or participation in relevant Olympiads (a plus)
  • Familiarity with machine learning, data analysis, market research and data modeling (a plus)
  • 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

Financial experience is not required, but interest in financial markets is a plus.

Anticipated New York annual base salary range $150,000 - $250,000, plus eligible for discretionary bonus.

Why you should join our team:

Tower’s headquarters and garden roofdecks are located in TriBeCa and SoHo, neighborhoods in downtown Manhattan. We also have a Chicago office located in River North, a neighborhood in central Chicago, just north of the Loop. While we work hard,

Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

  • Competitive salary and performance-based bonuses
  • 401(k) with company matching
  • 5 weeks of paid vacation per year plus 11 paid holidays
  • Free breakfast, lunch, and snacks on a daily basis
  • Reimbursement for health and wellness expenses
  • Free events and workshops
  • Donation matching program

Tower Research Capital is an equal opportunity employer.

About the company

Tower Research Capital company logo

Tower Research Capital

Actively Hiring
A trading and technology company501-1000 Employees
Learn more about Tower Research Capital image

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