Commodity Trader

JR United Kingdom; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading quantitative trading firm seeks a Commodity Trader to join its global team. The successful candidate will leverage advanced techniques to identify trading opportunities, optimize strategies, and manage risk in real-time. This role requires a quantitative background and expertise in algorithmic trading related to commodities.

Qualifications

• 3+ years of experience in commodity trading, preferably algorithmic.
• Deep understanding of commodity markets.
• Familiarity with market microstructure.

Responsibilities

• Research, design, and implement algorithmic trading strategies.
• Analyze large datasets for market inefficiencies.
• Monitor and manage live trading performance.

Skills

Strong programming skills

Analytical skills

Statistical modelling

Machine learning

Education

Bachelor’s, Master’s, or PhD in a quantitative field

Job description

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My client is a leading quantitative trading and investment firm that researches, develops, and deploys algorithmic trading strategies across global markets. Their team leverages advanced mathematical models, statistical techniques, and cutting-edge technology to trade across all asset classes on multiple exchanges worldwide.

Role Overview:

They are seeking a highly analytical and driven Commodity Trader to join their global trading team. The ideal candidate will have a strong quantitative background, deep understanding of commodity markets, and experience in developing and executing algorithmic trading strategies. You will collaborate with researchers, engineers, and data scientists to identify opportunities, optimize strategies, and manage risk in real-time.

Key Responsibilities:

• Research, design, and implement algorithmic trading strategies in commodity markets (e.g., energy, metals, agriculture) including Futures, spot and options.
• Analyse large datasets to identify market inefficiencies and trading opportunities.
• Collaborate with quantitative researchers and software engineers to back test and optimize strategies.
• Monitor and manage live trading performance, ensuring strategies operate within defined risk parameters.
• Contribute to the development of proprietary tools and infrastructure for strategy research and execution.
• Stay informed on global macroeconomic trends, geopolitical events, and market structure changes affecting commodities.

Required Qualifications:

• Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance.
• 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment.
• Strong programming skills in Python, C++, or similar languages used in quantitative research.
• Deep understanding of commodity markets, including futures, options, and spot trading.
• Experience with statistical modelling, machine learning, or signal processing techniques.
• Familiarity with market microstructure and electronic trading platforms.