Quant jobs / Winton

Quantitative Developer/Researcher – Commodities

An experienced engineering role in Winton's Fundamental Commodities strategy that starts with building systems and gradually adds research. It supports a single portfolio manager's strategies.

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.

Add features to the signal pipeline for new commodity strategies
Build infrastructure that moves research smoothly into live trading
Create data validation and monitoring with the portfolio manager
Gradually take on research projects

What they ask for

Required

Degree in computer science, engineering or similar
Two or more years of commercial development
Strong Python
Building and deploying data pipelines
CI/CD, Kafka and Airflow familiarity
Good engineering practice

Preferred

Commodity derivatives trading systems experience
Working with researchers and PMs
Basic financial statistical modelling
Dask or parallel processing
Docker, Kubernetes, AWS

Education: Bachelor's in computer science, engineering or related field
Experience: 2+ years of commercial development
Languages and tools: Python
Kafka
Airflow
Docker
Kubernetes
AWS
Markets: commodities, futures

How to prepare

Build a tested data pipeline with validation checks and alerts
Learn commodity futures contract structure and roll
Practise CI/CD with a small deployed service
Read introductory material on statistical modelling of price signals

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Winton’s site before applying: requirements, location and pay can change after we check them.

View the posting on Winton’s site ↗

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