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- Tasks: Join a dynamic team to design and execute algorithmic trading strategies in commodities.
- Company: A leading player in global energy and commodities markets, known for innovation.
- Benefits: Exceptional compensation with significant performance-based upside; collaborative culture.
- Why this job: Full ownership of your strategies in a fast-paced, high-impact environment.
- Qualifications: 3-5 years in algorithmic market-making; strong coding skills in Python or C++ required.
- Other info: On-site role in London, five days a week; resilience under pressure is key.
The predicted salary is between 43200 - 72000 £ per year.
My client, a leading player in the global energy and commodities markets, is seeking an experienced Algorithmic Trader to join their high-performing team in London. This is a front-office, hands-on role where you will be building and deploying your own algorithmic trading strategies within a market-making environment. You will sit alongside quant developers and traders in a high-impact position with full ownership of strategy implementation, risk management, and performance optimisation.
Three Non-Negotiables:
- Proven experience in market making – ideally within commodities or energy markets.
- Track record of building and implementing your own trading algorithms.
- Strong coding skills in either Python or C++.
Key Responsibilities:
- Design, develop, and execute market-making strategies.
- Analyse large, noisy datasets to uncover edge and improve execution.
- Monitor performance and risk, continuously optimising strategies.
- Collaborate with engineering and data teams to enhance infrastructure and tools.
What You Bring:
- Minimum of 3–5 years of experience in algorithmic market-making.
- Deep understanding of market microstructure and automated trading systems.
- Strong grasp of statistical analysis, quantitative modelling, and financial mathematics.
- Resilience under pressure and sharp decision-making in fast-moving markets.
Why Apply?
- High earning potential with performance-based upside.
- Full ownership of your trading strategy and PnL.
- Dynamic, collaborative trading floor culture with cutting-edge tools.
This is a full-time, on-site role in the City of London — five days a week in the office is essential.
Contact Detail:
OFS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Trader | Market Making | Commodities (London Area)
✨Tip Number 1
Network with professionals in the commodities and energy trading sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in algorithmic trading.
✨Tip Number 2
Showcase your coding skills by contributing to open-source projects or creating your own trading algorithms. This not only demonstrates your technical abilities but also your passion for algorithmic trading, which can set you apart from other candidates.
✨Tip Number 3
Stay updated on market microstructure and recent developments in automated trading systems. Subscribe to relevant financial news outlets and research papers to ensure you can discuss current events and innovations during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm design problems. Focus on Python or C++ as these are crucial for the role, and be ready to explain your thought process and decision-making in high-pressure scenarios.
We think you need these skills to ace Algorithmic Trader | Market Making | Commodities (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in market making, particularly within commodities or energy markets. Include specific examples of trading algorithms you've built and implemented, as well as your coding skills in Python or C++.
Craft a Compelling Cover Letter: In your cover letter, emphasise your proven track record in algorithmic trading and your understanding of market microstructure. Discuss how your skills align with the responsibilities outlined in the job description, such as performance optimisation and risk management.
Showcase Relevant Projects: If you have worked on any relevant projects or have case studies that demonstrate your ability to analyse large datasets and develop trading strategies, include these in your application. This will help illustrate your hands-on experience and technical expertise.
Prepare for Technical Questions: Be ready to discuss your coding skills and algorithmic trading strategies in detail during the interview process. Brush up on your knowledge of statistical analysis and quantitative modelling, as these are crucial for the role.
How to prepare for a job interview at OFS
✨Showcase Your Trading Experience
Be prepared to discuss your previous experience in market making, especially within commodities or energy markets. Highlight specific algorithms you've built and the impact they had on performance.
✨Demonstrate Your Coding Skills
Since strong coding skills in Python or C++ are essential, be ready to talk about your coding projects. You might even be asked to solve a coding problem during the interview, so brush up on your programming skills.
✨Understand Market Microstructure
Make sure you have a solid grasp of market microstructure and automated trading systems. Be prepared to discuss how these concepts influence your trading strategies and decision-making processes.
✨Prepare for High-Pressure Scenarios
Given the fast-paced nature of trading, think of examples where you've made quick decisions under pressure. This will demonstrate your resilience and ability to thrive in a dynamic environment.
