Quant Trading 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

CW Talent Solutions is proud to partner with a leading global trading firm in the search for a talented Quant Trading Engineer to join its expanding New York team. This is an exceptional opportunity to work at the intersection of research, engineering, and automated trading, building the systems and tools that power high-performance quantitative strategies across global markets.

Key Responsibilities

• Design, develop, and maintain low-latency trading systems and research infrastructure
• Implement and optimize systematic trading algorithms in partnership with quantitative researchers
• Build robust data pipelines and tooling for large-scale market and proprietary datasets
• Enhance execution logic, order routing, and performance monitoring systems
• Collaborate closely with researchers, developers, and traders to deliver scalable, production-ready solutions

Preferred Experience

• 3+ years of experience in quantitative engineering, systematic trading, or low-latency software development
• Strong programming skills (Python and C++ preferred)
• Solid understanding of market microstructure and electronic trading workflows
• Experience working with large datasets, backtesting frameworks, and production trading environments
• Degree in Computer Science, Engineering, Mathematics, or related quantitative field
• Strong problem-solving ability and comfort working in fast-paced, research-driven environments

What’s in It for You?

• High-impact engineering role supporting a globally recognized trading platform
• Access to cutting-edge technology, infrastructure, and rich datasets
• Highly competitive compensation with significant performance-based upside
• Work with world‑class quants, engineers, and technologists solving complex trading challenges

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Finance

Industries

• Capital Markets

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