Quant Developer Commodities

Vertus Partners; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global systematic trading firm is seeking a Quantitative Developer to support its commodities trading team. You'll focus on developing Python tools, building data pipelines for various commodities data, and optimizing quantitative models. Candidates should have 5+ years in software development, strong Python skills, and an interest in market complexities. This role offers an opportunity to work closely with researchers to turn data insights into actionable strategies.

Qualifications

• 5+ years of software development experience in quantitative or data-intensive environments.
• Strong programming skills in Python.
• Interest in commodities markets and associated data challenges.

Responsibilities

• Develop and maintain tools that support commodities research and strategy development.
• Build data pipelines for large volumes of structured and unstructured data.
• Optimize models tailored to commodities behaviour.

Skills

Python programming

Quantitative analysis

Data pipelines

Machine learning

Distributed computing

Job description

A global systematic trading firm is seeking a Quantitative Developer to support its commodities trading team. The role focuses on building and maintaining the technical infrastructure used to develop trading signals and analytical tools across energy, weather and metals markets. You'll work closely with researchers and traders to turn data into actionable insights.

What You'll Do

• Develop and maintain Python tools that support commodities research and systematic strategy development.
• Build data pipelines for large volumes of structured and unstructured commodities data (e.g., fundamentals, weather, shipping, market microstructure).
• Implement and optimize models, including time‑series analysis, regression frameworks, and machine‑learning techniques tailored to commodities behaviour.
• Work with researchers to translate domain‑specific requirements-such as supply-demand modelling or curve dynamics into robust technical solutions.
• Use high‑performance or distributed computing environments to enable large‑scale backtesting and simulation.
• Support and improve existing tools and systems across research, analytics, and trading functions.

What You Bring

• 5+ years of software development experience, ideally in quantitative, trading, or data‑intensive environments.
• Strong programming skills in Python
• Interest or experience in commodities markets (energy, metals, weather) and the unique data/ modelling challenges within them.
• Familiarity with areas such as distributed computing, machine learning, platform engineering, or large‑scale system design.
• Ability to work independently, collaborate with researchers, and contribute to technical decision‑making.

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