Quant jobs / Balyasny Asset Management

Quantitative Developer - Systematic Research Technology

Systematic Research Technology builds the software used to discover, test and trade investment ideas. This engineer works across Python research tools and performance-sensitive C++ components.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Create reusable Python research libraries
Build fast C++ components for critical workflows
Improve model evaluation and research reproducibility
Diagnose reliability and performance problems across the platform

What they ask for

Required

Five or more years building production systems
Python or C++ with willingness to use both
Strong engineering fundamentals
Performance analysis
Testing and maintainability
Communication with researchers

Preferred

Systematic investment knowledge
Linux or distributed systems
Numerical computing
Cloud or low-latency systems

Education: Computing, maths, physics, engineering or statistics qualification, or equivalent experience.
Experience: 5+ years of hands-on production-system development.
Languages and tools: Python
C++

How to prepare

Demonstrate a reproducible research tool with a profiled C++ component
Explain how a model moves from research to production
Show debugging evidence for a difficult performance issue

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Balyasny Asset Management’s site before applying: requirements, location and pay can change after we check them.

View the posting on Balyasny Asset Management’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Balyasny Asset Management and doesn’t handle applications.