Quantitative Developer - Low-Latency Trading & Research

WizardQuant; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

WizardQuant in New York develops quantitative research platforms and production trading systems. Developers collaborate with researchers and portfolio management to build core components, backtesting, and data ingestion tools for end-to-end model execution and portfolio management.

The role emphasizes research and production pipelines, performance optimization, and scalable computing across global markets. Strong C++ or Python skills and Linux development are essential, with 3+ years of

Qualifications

• Bachelor's degree or above in CS, software engineering, mathematics or related STEM field.
• Strong foundation in algorithms and data structures, and Linux development experience.
• 3+ years in quantitative software engineering, with design and development of research/production systems.
• Hands-on experience with modern C++ or Python, including concurrent/parallel programming.

Responsibilities

• Develop quantitative research platforms and tools, such as simulation and backtesting systems.
• Participate in algorithm research and optimization for workflows like portfolio optimization.
• Build, optimize, and maintain low-latency trading pipelines and order execution systems.
• Utilize high-performance computing frameworks to optimize trading components.
• Contribute to emerging business areas across global markets.

Skills

Algorithms and data structures

Linux proficiency

Concurrency and parallel programming

Quantitative software engineering

Project management

Education

Bachelor's degree or above in Computer Science, Software Engineering, Mathematics or related STEM fields

Tools

C++

Python

GPU computing

PyTorch

Job description

WizardQuant in New York develops quantitative research platforms and production trading systems. Developers collaborate with researchers and portfolio management to build core components, backtesting, and data ingestion tools for end-to-end model execution and portfolio management.

The role emphasizes research and production pipelines, performance optimization, and scalable computing across global markets. Strong C++ or Python skills and Linux development are essential, with 3+ years of