Tower Research Capital→
Quantitative Trader (2026)
Entry LevelHybridFull-time
Location
New York, NY
Salary
$150k–$250k/yr
Experience
0–2 years
Posted
2 months ago
Skills
c++pythonlinux/unixmachine learningdata analysisinterest in financial marketsproblem-solvingcommunication skills
Job Description
Summary: Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its high-performance platform and innovative trading strategies. The Quantitative Trader role involves designing and implementing high-frequency trading algorithms, analyzing market data, and developing tools for data analysis to support trading operations.
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
Required 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:
- 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
Required Skills: C++, Python, Linux/Unix
Important Skills: Machine learning, Data analysis
Nice-to-Have Skills: Interest in financial markets, problem-solving, Communication skills
Benefits: 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
Benefits
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