Quant jobs / Qube Research & Technologies

Quantitative Developer – Commodities (Python)

A Python development role supporting commodities research and trading across agriculture, metals and energy. It covers pricing, backtesting, risk and alternative-data tooling.

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 pricing, backtesting and PnL tools for commodity desks
Create pipelines for weather and cargo alternative data
Turn trader ideas into production models and apps
Maintain cloud applications on AWS

What they ask for

Required

Python software development
NumPy, Pandas, Polars, Matplotlib
SQL
Data pipelines, ideally with Airflow
Git, testing and packaging
Quantitative and analytical skills
AWS or similar cloud

Preferred

Commodities quant tooling experience
Dashboards (Plotly, Streamlit, Dash, htmx)
Snowflake, Slurm or Ray
Statistical or machine learning models
Mentoring juniors

Education: No degree level stated.
Experience: 2+ years of professional software development
Languages and tools: Python
SQL
Airflow
AWS
Markets: commodities

How to prepare

Backtest a simple commodity trend or spread strategy with Python
Build an Airflow pipeline ingesting weather data and test it
Study agriculture, metals and energy market structure
Learn futures curve roll and basis concepts

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 Qube Research & Technologies’s site before applying: requirements, location and pay can change after we check them.

View the posting on Qube Research & Technologies’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Qube Research & Technologies and doesn’t handle applications.