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- Tasks: Join a dynamic team to build and deploy your own trading strategies.
- Company: A leading player in global energy and commodities markets.
- Benefits: Exceptional compensation with significant performance-based upside.
- Why this job: Full ownership of your strategies in a collaborative, cutting-edge environment.
- Qualifications: Experience in algorithmic trading, strong coding skills in Python or C++ required.
- Other info: This is a full-time, on-site role in the City of London.
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.
- Track record of building and implementing your own trading algorithms.
- Strong coding skills in either Python or C++.
- Monitor performance and risk, continuously optimising strategies.
- Collaborate with engineering and data teams to enhance infrastructure and tools.
- Deep understanding of market microstructure and automated trading systems.
- Strong grasp of statistical analysis, quantitative modelling, and financial mathematics.
- 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 Experienced Tradespeople Required. Full Time
✨Tip Number 1
Network with professionals in the trading and finance sectors. Attend industry events, webinars, or 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 expertise but also gives you practical experience that can impress hiring managers.
✨Tip Number 3
Stay updated on market microstructure and automated trading systems by following relevant blogs, podcasts, and research papers. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to algorithm development and quantitative analysis. Familiarise yourself with common algorithms and their applications in trading to demonstrate your problem-solving skills.
We think you need these skills to ace Experienced Tradespeople Required. Full Time
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in algorithmic trading, coding skills in Python or C++, and any relevant achievements in performance optimisation. Use specific examples to demonstrate your track record.
Craft a Compelling Cover Letter: In your cover letter, express your passion for algorithmic trading and explain why you are a great fit for the role. Mention your understanding of market microstructure and how your skills can contribute to the company's success.
Showcase Your Technical Skills: If applicable, include links to any projects or portfolios that showcase your coding abilities and trading strategies. This could be GitHub repositories or personal websites demonstrating your work.
Prepare for Interviews: Anticipate technical questions related to algorithmic trading, risk management, and statistical analysis. Be ready to discuss your previous experiences and how they relate to the responsibilities of the role.
How to prepare for a job interview at OFS
✨Showcase Your Algorithmic Trading Experience
Be prepared to discuss your previous experience in building and implementing trading algorithms. Highlight specific strategies you've developed, the outcomes, and any challenges you faced during the process.
✨Demonstrate Your Coding Skills
Since strong coding skills in Python or C++ are essential for this role, be ready to talk about your proficiency in these languages. You might even be asked to solve a coding problem during the interview, so brush up on your coding fundamentals.
✨Understand Market Microstructure
Make sure you have a solid understanding of market microstructure and automated trading systems. Be prepared to discuss how these concepts influence your trading strategies and decision-making processes.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis, quantitative modelling, and financial mathematics. Review key concepts and be ready to explain how you've applied them in your previous roles.
