Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and trade quantitative strategies in global commodity markets.
- Company: Join a leading prop trading firm focused on commodities.
- Benefits: Collaborate with top experts and enjoy a dynamic work environment.
- Why this job: Make an impact by analysing data and optimising trading strategies.
- Qualifications: 3+ years in quant trading, strong coding skills, and an advanced degree required.
- Other info: Passion for markets and data is essential.
The predicted salary is between 43200 - 72000 £ per year.
We are partnering with a leading prop trading firm in the commodities space, seeking a Quantitative Commodity Trader to develop and implement systematic trading strategies across energy, metals, gas, or related commodity markets.
What You’ll Do:
- Develop and trade quantitative strategies across global commodity markets.
- Analyze large datasets to uncover alpha and inefficiencies.
- Own the full strategy lifecycle: research, backtest, execution, and performance optimization.
- Collaborate with a world-class team of quants, engineers, and risk experts.
What We’re Looking For:
- 3+ years in quant trading or research (commodities preferred).
- Strong coding skills (Python/C++); deep understanding of statistical modeling.
- Advanced degree in a quantitative field.
- Passion for markets, data, and building scalable systems.
Ready to make an impact? Apply now!
Commodity Trader employer: Alexander Chapman
Contact Detail:
Alexander Chapman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodity Trader
✨Tip Number 1
Network with professionals in the commodities trading space. Attend industry conferences, webinars, or local meetups to connect with traders and quants. Building relationships can lead to valuable insights and potential referrals.
✨Tip Number 2
Stay updated on market trends and news related to commodities. Follow relevant publications, blogs, and social media accounts to understand current events that may impact trading strategies. This knowledge will help you stand out during interviews.
✨Tip Number 3
Showcase your coding skills by working on personal projects or contributing to open-source initiatives. Create a portfolio that demonstrates your ability to develop quantitative trading strategies using Python or C++. This practical experience can impress potential employers.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative trading. Familiarise yourself with statistical modelling concepts and be ready to discuss how you've applied them in past experiences. This preparation can give you an edge over 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 relevant experience in quantitative trading, especially in commodities. Emphasise your coding skills in Python or C++, and any advanced degrees in quantitative fields.
Craft a Strong Cover Letter: In your cover letter, express your passion for markets and data. Discuss specific examples of how you've developed and implemented trading strategies, and mention any collaborative projects with quants or engineers.
Showcase Analytical Skills: When detailing your experience, focus on your ability to analyse large datasets. Provide examples of how you've uncovered alpha or inefficiencies in past roles, and mention any statistical modelling techniques you’ve used.
Highlight Full Strategy Lifecycle Experience: Clearly outline your experience with the full strategy lifecycle: research, backtesting, execution, and performance optimisation. This will demonstrate your comprehensive understanding of the trading process.
How to prepare for a job interview at Alexander Chapman
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in quantitative trading and research. Highlight specific projects where you've developed or implemented trading strategies, especially in commodities. Use examples that demonstrate your strong coding skills in Python or C++.
✨Demonstrate Data Analysis Expertise
Expect questions about how you analyse large datasets. Prepare to explain your approach to uncovering alpha and inefficiencies in the market. You might be asked to walk through a case study or a past experience where your data analysis led to successful trading outcomes.
✨Understand the Full Strategy Lifecycle
Familiarise yourself with the entire lifecycle of a trading strategy, from research to execution and performance optimisation. Be ready to discuss how you have managed these phases in previous roles, and what tools or methodologies you used to ensure success.
✨Express Your Passion for Markets
Convey your enthusiasm for commodities and trading during the interview. Share insights on current market trends or recent developments in the commodities space. This will show your genuine interest and help you connect with the interviewers who are likely passionate about the field as well.
