Quant Developer; Commodities - Hedge Fund
Listed on 2026-01-13
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IT/Tech
Data Scientist, Data Engineer, AI Engineer, Machine Learning/ ML Engineer
Location: Greater London
Quant Developer (Commodities) - Hedge Fund
Direct message the job poster from Selby Jennings
We are working closely with a leading global investment firm recognized for its cutting‑edge technology and data‑driven approach to trading. They operate across major financial and physical commodity markets, including natural gas, power, crude oil, refined products, and agriculture. Their success is built on deep market expertise, proprietary analytics, and advanced technology platforms that enable rapid insights and superior decision‑making.
The OpportunityAs a Quantitative Developer, you'll work at the intersection of quantitative research, software engineering, and trading. You will design and build tools that empower traders and researchers to identify opportunities and execute strategies effectively. This is a chance to join a high‑performing commodities team where Python development, data engineering, and quantitative modeling create a competitive edge.
Key Responsibilities- Develop and optimise quantitative models and data analytics tools for commodities trading.
- Collaborate with trading, research, and data teams to deliver scalable, maintainable solutions.
- Work with large datasets, integrating insights into models and investment processes.
- Enhance model frameworks, improve performance, and maintain a technological edge.
- Conduct scenario analysis and build tools for forecasting and risk management.
- Exceptional academic background with a BS or higher in Computer Science, Engineering, or equivalent experience.
- Strong programming skills in Python; experience with multiple languages is a plus.
- Knowledge of Unix/Linux systems, distributed architectures, and database technologies.
- Familiarity with quantitative finance, commodities markets, or algorithmic trading is advantageous.
- Highly motivated, detail‑oriented, and thrives in a fast‑paced, collaborative environment.
- Work in a dynamic, intellectually stimulating environment at the forefront of quantitative trading.
- Be part of a team that values innovation, precision, and continuous improvement.
- Competitive compensation and opportunities for professional growth.
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