Quantitative Trader – HFT & Data Analytics

Tower Research Capital; New York (NY); Hybrid; 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 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.