Quant jobs / Balyasny Asset Management

Quantitative Developer - Systematic Strategies (Summer Internship)

The systematic developer internship contributes software to research and investment workflows. Projects may involve analytics, optimisation, deployment automation and pipeline monitoring.

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.

Build components used by systematic researchers
Improve analytical and data-processing tools
Contribute to Kubernetes deployment workflows
Add monitoring and diagnostics for research pipelines

What they ask for

Required

Python or C++
Strong programming foundations
Interest in systematic investing
Problem-solving
Technical communication

Preferred

Cloud or distributed systems
Data engineering
Optimisation or machine learning

Education: Bachelor or master student in computing or a related STEM discipline; graduation winter 2027–summer 2028.
Experience: Student summer internship.
Languages and tools: Python
C++
Kubernetes

How to prepare

Build a tested research-data processing component
Demonstrate a reproducible container deployment
Add useful metrics and alerts to a small analytical pipeline

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.