Quantitative Trader/Researcher - 2027

Tower Research Capital; New York (NY); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Generous PTO

Hybrid work

Free meals

Wellness reimbursement

Sports teams

Volunteer opportunities

Social events

Learning programs

Job summary

Tower Research Capital is a leading quantitative trading firm known for its high-performance platform and independent trading teams in New York. We empower engineers to build and optimize electronic trading systems that power our global markets.

You will design, implement, and deploy high-frequency trading algorithms, analyze market data and microstructure for patterns, and contribute to analytical libraries and exchange simulators, collaborating with trading and research groups.

Qualifications

• Bachelor’s, Master’s, or PhD in CS, math, physics, EE, or related field.
• 0–2 years of work experience.
• Proficiency in an OO language (C++ and/or Python).
• Working knowledge of Linux/Unix.
• Strong problem-solving and communication skills.
• Interest in financial markets.

Responsibilities

• Design, implement, and deploy high-frequency trading algorithms.
• Analyze market data and microstructure to spot patterns.
• Create tools to analyze data for patterns.
• Develop libraries of analytical computations to support data analysis.
• Develop, augment, and calibrate exchange simulators.
• Coordinate with internal/external trade teams to resolve issues.
• Participate in regular interviewing and campus recruitment outreach.

Skills

C++

Python

Education

Bachelor’s/Master’s/PhD in CS/Math/Physics/EE

Tools

Linux/Unix

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. 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
• 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

Qualifications

• 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
• 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 as a Teaching Assistant and/or participation in relevant Olympiads
• Familiarity with machine learning, data analysis, market research and data modeling

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

Benefits

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well‑stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.

• Generous paid time off policies
• Savings plans and other financial wellness tools available in each region
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• In‑office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
• Company‑sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations throughout the year
• Workshops and continuous learning opportunities

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.