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- Tasks: Develop and implement trading strategies in global commodity markets.
- Company: Join a leading prop trading firm focused on commodities.
- Benefits: Enjoy a collaborative environment with top-tier professionals and potential for remote work.
- Why this job: Make a real 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 for success.
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!
Contact Detail:
Jobbydoo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodity Trader...
✨Tip Number 1
Familiarise yourself with the latest trends and developments in the commodities market. This will not only help you understand the current landscape but also demonstrate your passion for the field during any discussions with our team.
✨Tip Number 2
Brush up on your coding skills, especially in Python and C++. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to develop quantitative trading strategies.
✨Tip Number 3
Network with professionals in the commodities trading space. Attend industry conferences, webinars, or local meetups to connect with quants and traders who can provide insights and potentially refer you to opportunities at our firm.
✨Tip Number 4
Prepare to discuss your previous experiences in quant trading or research. Be ready to share specific examples of how you've developed and optimised trading strategies, as this will highlight your expertise and fit for the role.
We think you need these skills to ace Commodity Trader...
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative trading, especially in commodities. Emphasise your coding skills in Python or C++, and any relevant statistical modelling expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the commodities market and detail how your background aligns with the role. Mention specific projects or strategies you've developed that demonstrate your ability to analyse large datasets and optimise performance.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in quant trading or research. Use metrics to quantify your success, such as improvements in trading performance or efficiency gains from your strategies.
Prepare for Technical Questions: Be ready to discuss your technical skills and past projects in detail during interviews. Brush up on your knowledge of statistical models and be prepared to explain your thought process behind developing trading strategies.
How to prepare for a job interview at Jobbydoo
✨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 solve a problem on the spot, so brush up on your statistical modelling techniques.
✨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 past roles, and what tools or methodologies you used.
✨Collaborate and Communicate
Since collaboration is key in this role, prepare to talk about your experience working in teams. Share examples of how you've worked with quants, engineers, or risk experts to achieve common goals. Good communication skills can set you apart.
