Commodity Trader

JR United Kingdom; Slough; On-site; GBP 70,000 - 100,000; Full time

Job summary

Une entreprise de trading quantitatif et d'investissement recherche un Commodity Trader analytique pour rejoindre son équipe mondiale. Le candidat idéal doit posséder une solide formation quantitative ainsi qu'une expérience dans le développement de stratégies de trading algorithmique. Ce rôle inclut l'analyse de marchés, la conception de modèles et la gestion du risque en temps réel.

Qualifications

• 3+ ans d'expérience en trading de matières premières, de préférence en environnement quantitatif.
• Compréhension approfondie des marchés de matières premières, options et trading au comptant.
• Expérience avec des techniques d'apprentissage machine ou de traitement des signaux.

Responsibilities

• Conception et mise en œuvre de stratégies de trading algorithmique sur les marchés de matières premières.
• Analyse de grands ensembles de données pour identifier les inefficiences du marché.
• Collaborer avec des chercheurs quantitatifs pour optimiser les stratégies de trading.

Skills

Analyse de données

Programmation en Python

Modélisation statistique

Trading quantitatif

Connaissance des marchés de matières premières

Education

Baccalauréat, Master ou PhD en Mathématiques, Statistiques, Physique, Informatique, Ingénierie ou Finance

Tools

Python

C++

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.