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- Tasks: Develop and implement systematic trading strategies in commodities markets.
- Company: Join a global leader in quantitative investment management.
- Benefits: Collaborate with experts and work on innovative trading strategies.
- Why this job: Make an impact in the dynamic world of commodities trading.
- Qualifications: 6+ years in commodity markets and advanced degree in a quantitative field required.
- Other info: Reach out to Tom for more info at +353 87 695 8046.
The predicted salary is between 48000 - 84000 £ per year.
Our client are a global quantitative investment manager specializing in systematic strategies across liquid asset classes.
The Role:
- Develop and implement systematic trading strategies in commodities markets .
- Analyze market dynamics (e.g., slippage, trading costs, liquidity) and identify trading opportunities.
- Lead the full research cycle: signal generation, portfolio construction, and execution.
- Monitor strategy performance and refine models over time.
- Collaborate with researchers, technologists, and traders globally.
Required Skillset:
- 6+ years’ experience with a strong understanding of commodity markets .
- Advanced degree in a quantitative field (e.g., mathematics, statistics, or engineering).
- Proficiency in programming (Python, R, C++, or similar).
- Experience with large datasets and quantitative research techniques.
- Proven track record in delivering successful systematic strategies.
- Ability to solve complex problems, innovate, and communicate effectively.
For more info, apply below or reach out to our director, Tom, on +353 87 695 8046 or
Quantitative Trader - Commodities employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader - Commodities
✨Tip Number 1
Make sure to showcase your experience with systematic trading strategies in commodities during any networking opportunities. Engage in discussions about market dynamics and demonstrate your understanding of slippage, trading costs, and liquidity.
✨Tip Number 2
Connect with professionals in the quantitative trading space through platforms like LinkedIn. Join relevant groups or forums where you can share insights and learn from others, which can help you stand out when applying for this role.
✨Tip Number 3
Stay updated on the latest trends and developments in commodity markets. Reading industry reports and following key influencers can provide you with valuable insights that you can discuss during interviews.
✨Tip Number 4
Prepare to discuss your programming skills in detail, especially in Python, R, or C++. Be ready to provide examples of how you've used these languages to analyze large datasets or develop quantitative models in your previous roles.
We think you need these skills to ace Quantitative Trader - Commodities
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and requirements of a Quantitative Trader in commodities. Highlight your relevant experience and skills that align with the job description.
Tailor Your CV: Customize your CV to emphasize your 6+ years of experience in commodity markets, your advanced degree, and your programming proficiency. Use specific examples of successful systematic strategies you've developed.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative trading and your ability to analyze market dynamics. Mention your collaborative experiences with researchers and technologists, as this is crucial for the role.
Highlight Technical Skills: In your application, clearly outline your programming skills (Python, R, C++, etc.) and your experience with large datasets. Provide examples of how you've used these skills in previous roles to solve complex problems.
How to prepare for a job interview at Qenexus
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative research techniques and how you've applied them in the commodities market. Highlight specific projects where you developed systematic trading strategies and the outcomes of those strategies.
✨Demonstrate Programming Proficiency
Since programming is crucial for this role, be ready to talk about your proficiency in languages like Python, R, or C++. You might even be asked to solve a coding problem during the interview, so brush up on your skills beforehand.
✨Understand Market Dynamics
Familiarize yourself with key concepts such as slippage, trading costs, and liquidity. Be prepared to analyze a hypothetical market scenario and discuss how you would identify trading opportunities based on these dynamics.
✨Communicate Effectively
Effective communication is essential, especially when collaborating with researchers and technologists. Practice explaining complex concepts in simple terms, and be ready to discuss how you’ve successfully worked in teams to refine trading models.
