Quant jobs / Balyasny Asset Management

Engineer, Commodities Quantitative Development

The commodities quant engineer combines software delivery with desk-facing model work. Tools cover pricing, energy dispatch, analytics and data flows used by several investment teams.

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 quantitative libraries and energy dispatch models
Build Python analytics and data integrations
Translate trader requirements into tested applications
Monitor proprietary systems and automate recurring work

What they ask for

Required

Four or more years developing software
Scientific Python
Production libraries and APIs
SQL or Snowflake workflows
Modern testing and release practices
LLM or machine-learning integration familiarity
Clear technical documentation

Preferred

Power-market models
Mathematical optimisation
Golang, Rust or C++
Derivatives-pricing experience

Education: Bachelor qualification in computing, engineering, maths or a related field, or equivalent experience.
Experience: 4+ years of software development; direct investment-team support is preferred.
Languages and tools: Python
pandas
NumPy
SciPy
SQL
Snowflake
Markets: commodities

How to prepare

Build a tested energy dispatch or pricing prototype
Explain a data pipeline feeding an investment model
Demonstrate production checks for an analytical library

What to study

The Energy Quant 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.