Quantitative Trader/Researcher - 2027
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Before you apply
Salary$150k – $250k
LocationChicago, IL, New York, Chicago
Work modehybrid
Typefull-time
SeniorityEntry
ExperienceUp to 2 yrs
DepartmentOn-Campus Recruiting
Company size501–1,000 people
PostedJul 5, 2026 · 4mo ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Jul 5, 202644% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in computer science, mathematics, physics, electrical engineering, or related fields
Master's degree in computer science, mathematics, physics, electrical engineering, or related fields
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
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
data modeling
Benefits
Paid time off
Financial wellness
Hybrid working
Free meals
Wellness reimbursement
Fitness events
Volunteer opportunities
Social events
Learning opportunities
About the company
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
Responsibilities:
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Designing, implementing, and deploying high-frequency trading algorithms
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Exploring trading ideas by analyzing market data and market microstructure for patterns
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Creating tools to analyze data for patterns
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Contributing to libraries of analytical computations to support market data analysis and trading
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Developing, augmenting, and calibrating exchange simulators
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Communicating with internal and external trade support, market centers, and other parties to handle real-time trading issues and improve understanding of specific markets
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Shaping the future of Tower through regular interviewing and infrequent campus recruiting trips
Requirements
Qualifications:
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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
Nice to have
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
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.
Our benefits include:
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Generous paid time off policies
•
Savings plans and other financial wellness tools available in each region
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Hybrid working opportunities
•
Free breakfast, lunch, and snacks daily
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In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
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Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
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Volunteer opportunities and charitable giving
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Social events, happy hours, treats, and celebrations throughout the year
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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.
Legal
Tower Research Capital is an equal opportunity employer.
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