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- Tasks: Join our global trading team as a Commodity Trader, developing algorithmic strategies and analysing market data.
- Company: We're a top quantitative trading firm using advanced tech to trade globally across all asset classes.
- Benefits: Enjoy competitive pay, flexible working options, and access to cutting-edge technology.
- Why this job: Be part of a dynamic team, make impactful decisions, and work in a fast-paced, innovative environment.
- Qualifications: You need a degree in a quantitative field and 3+ years in commodity trading with strong programming skills.
- Other info: Collaborate with experts and contribute to proprietary tools while staying ahead of global market trends.
The predicted salary is between 43200 - 72000 £ per year.
Company Overview: 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.
Commodity Trader employer: Marks Sattin
Contact Detail:
Marks Sattin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodity Trader
✨Tip Number 1
Make sure to stay updated on global macroeconomic trends and geopolitical events that impact commodity markets. This knowledge will not only help you in interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the trading and quantitative analysis sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest developments in algorithmic trading.
✨Tip Number 3
Familiarise yourself with the specific algorithmic trading strategies used in commodity markets. Understanding how these strategies are developed and executed will give you an edge during discussions with the hiring team.
✨Tip Number 4
Consider working on personal projects that involve algorithmic trading or data analysis in commodities. Showcasing your practical experience and problem-solving skills can set you apart from other candidates.
We think you need these skills to ace Commodity Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative background and relevant experience in commodity trading. Emphasise any algorithmic trading strategies you've developed and your programming skills in Python or C++.
Craft a Strong Cover Letter: In your cover letter, express your passion for commodity markets and your analytical mindset. Mention specific examples of how you've identified market inefficiencies or optimised trading strategies in the past.
Showcase Relevant Skills: Clearly outline your experience with statistical modelling, machine learning, and any tools you've used for back testing and optimising trading strategies. This will demonstrate your technical proficiency to the hiring team.
Stay Informed: Mention your awareness of global macroeconomic trends and geopolitical events in your application. This shows that you are proactive and understand the factors affecting commodity markets, which is crucial for the role.
How to prepare for a job interview at Marks Sattin
✨Showcase Your Quantitative Skills
Make sure to highlight your quantitative background during the interview. Be prepared to discuss specific mathematical models or statistical techniques you've used in past roles, especially those related to commodity trading.
✨Demonstrate Market Knowledge
Stay updated on current trends in the commodity markets. Be ready to discuss recent geopolitical events or macroeconomic changes that could impact trading strategies, showing that you understand the broader context of your role.
✨Prepare for Technical Questions
Expect technical questions related to programming and algorithmic trading. Brush up on your Python or C++ skills, and be prepared to solve problems or explain your thought process when developing trading strategies.
✨Collaborative Mindset
Emphasise your ability to work collaboratively with researchers and engineers. Share examples of how you've successfully partnered with others to optimise trading strategies or develop new tools, as teamwork is crucial in this role.
