Quant jobs / Balyasny Asset Management

Quant Researcher, Commodities

The commodities researcher models investment questions involving physical markets and logistics. Models connect infrastructure constraints, storage and transport economics with pricing and trade decisions.

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 forecasting, optimisation and valuation models
Represent physical transport and storage constraints
Create scenario tools for commodity portfolios
Integrate analytical models into pricing and risk systems

What they ask for

Required

Five or more years of relevant modelling
C++ and Python
Probability, statistics and numerical methods
Optimisation and time-series techniques
Practical hypothesis formulation
Interest in physical commodity markets

Preferred

Front-office modelling
SQL/NoSQL
Distributed data workflows
Machine-learning forecasting

Education: Bachelor, master or doctoral qualification in a highly quantitative discipline.
Experience: 5+ years in quantitative research, commodities, logistics or applied modelling.
Languages and tools: C++
Python
Markets: commodities

How to prepare

Model commodity transport as a constrained network problem
Explain storage optionality through a simple valuation example
Validate a forecasting model against operational constraints

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.