HFT Quant Trader — Low-Latency, Data-Driven

Tradermath; New York (NY); Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Hybrid working opportunities

Free breakfast, lunch and snacks

Wellness reimbursements

Volunteer opportunities

Social events and learning programs

Job summary

Tower Research Capital seeks engineers to design, implement, and deploy high-frequency trading algorithms, and to build electronic trading infrastructure across our NYC and Chicago teams. You will work with trading, data, and research groups to push performance and reliability, in a collaborative, high-intensity environment.

Ideal candidates have a BS/MS/PhD in CS, math, physics, or EE, 0–2 years of experience, and are proficient in C++ and Python with Linux/Unix familiarity.

Qualifications

• A Bachelor’s, Master’s, or PhD 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).
• Knowledge of Linux/Unix.
• Strong problem-solving abilities and communication skills.
• Interest in financial markets.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms.
• Exploring trading ideas by analyzing market data and microstructure.
• Creating tools to analyze data for patterns.
• Contributing to analytical computation libraries to support market data and trading.
• Developing, augmenting, and calibrating exchange simulators.
• Communicating with internal/external trade support and market centers to handle real-time issues.
• Participating in interviews and campus recruiting trips.

Skills

C++

Python

Linux/Unix

Problem solving

Communication

Multi-tasking

Interest in financial markets

Passion for new tech

Education

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

Tools

C++

Python

Linux/Unix

Job description

Tower Research Capital seeks engineers to design, implement, and deploy high-frequency trading algorithms, and to build electronic trading infrastructure across our NYC and Chicago teams. You will work with trading, data, and research groups to push performance and reliability, in a collaborative, high-intensity environment.

Ideal candidates have a BS/MS/PhD in CS, math, physics, or EE, 0–2 years of experience, and are proficient in C++ and Python with Linux/Unix familiarity.