Quantitative Trader Intern, PhD

Tower Research Capital

New York (NY)

On-site

USD 159,250 - 259,350

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
Free meals daily
Networking events
Mentors from top institutions
Collaborative culture

Job summary

Tower Research Capital is a leading quantitative trading firm with a 25+ year track record. We design high-performance trading and engineering platforms, solving low-latency, FPGA, and ML challenges in a global setting.

We seek a PhD student for a 4-6 month or 10-week summer internship in New York, focusing on C++, Python, and data-driven trading ideas. Competitive weekly pay, meals, and networking events await the right candidate.

Qualifications

  • Availability for 4-6 months or 10-week summer term.
  • PhD student studying a quantitative field (math, stats, physics, EE, CS, econ).
  • Strong background in C++, R, Python, or an object-oriented language.
  • Strong problem-solving abilities and fast-paced work style.
  • Passion for new technologies and ideas, with good communication.

Responsibilities

  • Design, implement, and deploy high-frequency trading algorithms.
  • Work with a mentor to research and enhance trading strategies.
  • Analyze market data and microstructure for patterns.
  • Create tools to analyze data for patterns.
  • Contribute to libraries of analytical computations for data analysis.
  • Develop, augment, and calibrate exchange simulators.

Skills

C++
Python
R
OO programming

Education

PhD student in math/ stats/ physics/ EE/ CS/ economics

Job description

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. Tower has 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
  • Developing, augmenting, and calibrating exchange simulators
Qualifications
  • Availability for 4-6 months or 10-week summer term
  • PhD student focusing on mathematics, statistics, physics, electrical engineering, computer science, economics, or related fields
  • A strong background in C++, R, Python, or an object-oriented programming language
  • 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
Preferred Qualifications (not required):
  • Past industry experience
  • Experience with machine learning

Anticipated New York weekly base salary range $3,500-5,700.

Benefits
  • Competitive compensation package
  • Free breakfast, lunch, and snacks daily
  • Exciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes)
  • Opportunities to learn from senior management across the firm
  • Mentors from your alma mater and other top institutions

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.

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