Quantitative Trader Intern - Summer 2027 at Tower Research Capital | Chicago, IL, US | Rezi

Quantitative Trader Intern - Summer 2027 at Tower Research Capital

Quantitative Trader Intern - Summer 2027

Tower Research Capital · Chicago, IL, US

1 months ago

Quantitative Trader Intern - Summer 2027

Tower Research Capital · Chicago, IL, US

2 months ago
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About the Role

Tower Research Capital is a leading quantitative trading firm seeking talented individuals to contribute to our high-performance trading platform. We empower independent trading teams and foster a culture of innovation, discovery, and collaboration. Our engineers solve challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning, ensuring our platform remains unmatched.

Responsibilities

  • 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

Requirements

  • 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
  • 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

Skills

  • C++
  • Python
  • Linux/Unix
  • Machine learning
  • Data analysis
  • Market research
  • Data modeling

Location

  • New York
  • Chicago

Work Type

  • Full-time

Experience Level

  • Student

Education Level

  • Bachelor's degree
  • Master's degree
  • PhD

Salary/Compensations

  • New York and Chicago weekly base salary range $3,500-5,700

Benefits

  • Competitive compensation package
  • Housing accommodation
  • Free breakfast, lunch, and snacks daily
  • Exciting networking and social events
  • Opportunities to learn from senior management
  • Mentors from your alma mater and other top institutions

About the Company

  • Tower Research Capital is a leading quantitative trading firm founded in 1998, built on a high-performance platform and independent trading teams with a 25+ year track record of innovation.
  • Tower is home to some of the world’s best systematic trading and engineering talent, empowering portfolio managers and providing economies of scale.
  • Engineers thrive at Tower developing electronic trading infrastructure at a world-class level, solving challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning.
  • Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched.
  • Business Support teams are essential to building and maintaining the platform, enabling trading and engineering teams to perform at their best.
  • Employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other.
  • Tower’s headquarters are in the historic Equitable Building in NYC’s Financial District, with a global impact and over a dozen offices worldwide.
  • We foster a culture where smart, driven people thrive without egos, with an open concept workplace, casual dress code, and well-stocked kitchens.
  • We value a friendly, collaborative environment where everyone is respected and great ideas win.
  • At Tower, you’ll find a collaborative and welcoming culture, a diverse team, and a workplace that values both performance and enjoyment.

Equal Opportunity

  • Tower Research Capital is an equal opportunity employer.