Senior Quantitative Developer, Commodities
This developer builds research software for commodity desks. Work centres on the curve platform and backtesting systems used by portfolio managers, traders and researchers.
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.
- Extend commodity curve and simulation tools
- Translate desk requirements into tested Python software
- Own delivery from design through production support
- Improve technical standards across the shared platform
What they ask for
Required
- Five or more years developing financial software
- Strong Python
- Production-software ownership
- Business-user collaboration
- Requirements prioritisation
- Technical communication
Preferred
- Quantitative applications
- Databases
- Trading infrastructure
- Commodity curves
- LLM-assisted development
- Education
- Strong engineering or quantitative qualifications; degree level is not stated.
- Experience
- At least five years of financial software development.
- Languages and tools
- Markets
- commodities
How to prepare
- Build a commodity curve research tool with tested data handling
- Demonstrate a backtest service and explain its failure controls
- Describe how to prioritise competing trader requests
What to study
- Quantitative Data Engineering
- Python for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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.