Low-Latency Quant Trading Systems Engineer

Cw Talent Solutions; United States; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Highly competitive compensation

Access to cutting-edge technology and rich datasets

Opportunity to work with world-class experts

Job summary

A leading global trading firm in New York is seeking a Quant Trading Engineer to design and develop low-latency trading systems. This mid-senior level position offers the opportunity to implement systematic trading algorithms and build robust data pipelines using cutting-edge technology. Ideal candidates should have 3+ years of experience, strong programming skills in Python and C++, and a degree in a quantitative field. Competitive compensation with performance-based upside is offered.

Qualifications

• 3+ years of experience in quantitative engineering or low-latency software development.
• Strong programming skills in Python and C++ preferred.
• Solid understanding of market microstructure and electronic trading workflows.

Responsibilities

• Design, develop, and maintain low-latency trading systems.
• Implement and optimize trading algorithms with quantitative researchers.
• Build robust data pipelines for large-scale market datasets.

Skills

Quantitative engineering

Systematic trading

Low-latency software development

Python

C++

Problem-solving ability

Education

Degree in Computer Science

Degree in Engineering

Degree in Mathematics

Job description

A leading global trading firm in New York is seeking a Quant Trading Engineer to design and develop low-latency trading systems. This mid-senior level position offers the opportunity to implement systematic trading algorithms and build robust data pipelines using cutting-edge technology. Ideal candidates should have 3+ years of experience, strong programming skills in Python and C++, and a degree in a quantitative field. Competitive compensation with performance-based upside is offered.