Quant jobs / Balyasny Asset Management

Software Engineer – Physical Commodities Teams (Summer Internship)

The Aalborg software intern builds quantitative tools for physical commodity investment teams. Projects combine Python applications, data analysis and visual explanations for traders.

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.

Implement Python tools supporting commodity models
Analyse data for trading and modelling tasks
Build dashboards for investment users
Document code and modelling workflows

What they ask for

Required

Python for data analysis
Data visualisation
Computing background
Interest in trading or energy
Clear communication
Collaborative problem-solving

Education: Bachelor or master study in computer science; graduation winter 2027 or spring 2028.
Experience: Student summer internship.
Languages and tools: Python
Markets: commodities

How to prepare

Build a Python dashboard around a commodity dataset
Implement and test a small trading-analysis model
Explain results and data limitations to a nontechnical user

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.