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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 an impact by analysing data and optimising trading strategies in a dynamic market.
- Qualifications: 3+ years in quant trading, strong coding skills, and an advanced degree in a quantitative field.
- Other info: Passion for markets and data is essential; be part of a world-class team.
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: Jobbydoo
Contact Detail:
Jobbydoo 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 quants and traders. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Stay updated on market news and developments in the commodities sector. Follow relevant publications and online forums to understand current market dynamics, which will help you during interviews and discussions with our team.
✨Tip Number 3
Showcase your coding skills by working on personal projects or contributing to open-source initiatives. This not only demonstrates your technical abilities but also your passion for quantitative trading, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your previous trading strategies and their outcomes in detail. Be ready to explain your thought process, the data you used, and how you optimised performance, 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 markets and data. Discuss specific examples of how you've developed and implemented trading strategies, and how you’ve collaborated with teams in the past.
Showcase Your Analytical Skills: Include examples of how you've analysed large datasets to uncover alpha or inefficiencies. This could be through projects, previous roles, or academic work that demonstrates your ability to handle complex data.
Highlight Relevant Education: Mention your advanced degree in a quantitative field prominently. If you have completed any relevant coursework or projects, include those details to strengthen your application.
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. Discuss any statistical models you've used and how they contributed to your trading success.
✨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've managed these phases in past roles and any challenges you faced.
✨Emphasise Team Collaboration
Since collaboration is key in this role, be prepared to talk about your experiences working with quants, engineers, and risk experts. Share examples of how you've successfully collaborated on projects and the impact it had on your trading outcomes.
