Senior Quantitative Systems Engineer - Research & Trading Tech

Balyasny Asset Management L.P.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Balyasny Asset Management L.P. is seeking exceptional engineers to build the quantitative research and trading systems behind systematic investing. The role spans Python and C++, with Python for research workflows and C++ for performance-critical production code.

You will work with Portfolio Managers, Quant Researchers, and Technologists, taking ownership from design through deployment and production operation. The work emphasizes reliability, observability, and scalable solutions.

Qualifications

• 5+ years of hands-on development experience.
• Strong experience in Python, C++, or both.
• Exceptional programming ability and fundamentals.
• Degree in CS/Engineering/Math/Stats/Physics or equivalent.

Responsibilities

• Design, build, and own software for quantitative research and trading.
• Develop Python tooling and libraries to speed up research.
• Build and improve C++ components for performance-sensitive workflows.
• Collaborate with researchers to translate needs into durable solutions.
• Improve reliability, observability, and testability of systems.
• Diagnose complex problems across research to production.
• Contribute to high engineering standards through code reviews.

Skills

Python

C++

Software engineering

Communication

Education

CS/Engineering/Math/Stats/Physics degree

Tools

Linux

Job description

Balyasny Asset Management L.P. is seeking exceptional engineers to build the quantitative research and trading systems behind systematic investing. The role spans Python and C++, with Python for research workflows and C++ for performance-critical production code.

You will work with Portfolio Managers, Quant Researchers, and Technologists, taking ownership from design through deployment and production operation. The work emphasizes reliability, observability, and scalable solutions.