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- Tasks: Build and deploy your own algorithmic trading strategies in a fast-paced market-making environment.
- Company: Join a leading player in the global energy and commodities markets.
- Benefits: Enjoy exceptional compensation with significant performance-based upside and a dynamic trading culture.
- Why this job: Take full ownership of your strategies while collaborating with top quant developers and traders.
- Qualifications: 3-5 years of experience in algorithmic market-making and strong coding skills in Python or C++.
- Other info: This is a full-time, on-site role in London, requiring five days a week in the office.
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.
Algorithmic Trader | Market Making | Commodities employer: OFS
Contact Detail:
OFS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Trader | Market Making | Commodities
✨Tip Number 1
Network with professionals in the commodities and energy trading sectors. Attend industry conferences, webinars, or local meetups to connect with traders and quant developers who can provide insights and potentially refer you to opportunities.
✨Tip Number 2
Stay updated on the latest trends and technologies in algorithmic trading. Follow relevant blogs, podcasts, and forums to understand what strategies are currently successful and how they are being implemented in the market-making environment.
✨Tip Number 3
Consider contributing to open-source projects related to algorithmic trading. This not only sharpens your coding skills in Python or C++ but also showcases your ability to build and implement trading algorithms, which is crucial for this role.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm design problems. Focus on scenarios that involve market microstructure and statistical analysis, as these will likely be key topics during your interview process.
We think you need these skills to ace Algorithmic Trader | Market Making | Commodities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in market making, particularly within commodities or energy markets. Emphasise your track record of building and implementing trading algorithms, as well as your coding skills in Python or C++.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about algorithmic trading and how your skills align with the company's needs. Mention specific examples of your past successes in developing market-making strategies and optimising performance.
Showcase Your Analytical Skills: Include examples in your application that demonstrate your ability to analyse large datasets and improve execution. Highlight any relevant projects or experiences where you successfully applied statistical analysis or quantitative modelling.
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 market microstructure and automated trading systems to showcase your expertise.
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 want to prepare a small coding challenge to showcase your abilities during the interview.
✨Understand Market Microstructure
Brush up on your knowledge of market microstructure and automated trading systems. Be ready to explain how these concepts influence your trading strategies and decision-making processes.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your resilience under pressure and decision-making skills. Think of examples from your past where you had to make quick decisions in fast-moving markets.
