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- Tasks: Develop and manage automated trading strategies in a fast-paced market-making system.
- Company: Join a leading energy trading firm in London, renowned for its innovative approach.
- Benefits: Enjoy a competitive salary up to £400,000 and work with cutting-edge technology.
- Why this job: Be part of a dynamic team, collaborating with top traders and quants in the industry.
- Qualifications: Experience in algorithmic trading, strong coding skills in C++ or Python required.
- Other info: Office-based role, 5 days a week, ideal for those thriving in high-pressure environments.
Location: London (Office-Based, 5 Days/Week)
Salary: Up to £400,000 Total Compensation
Contract Type: Permanent
About the Role
A leading energy trading firm in London is seeking a highly skilled Algorithmic Trader to develop, implement, and manage automated trading strategies within a market-making system. This role is ideal for an experienced trader with a strong background in algorithmic strategy development, particularly in the commodities or energy trading sector.
Key Responsibilities
- Develop, implement, and manage automated trading strategies for a high-performance market-making system.
- Build and optimize proprietary trading algorithms to enhance execution efficiency and profitability.
- Monitor market conditions and adjust strategies to maximize trading opportunities.
- Collaborate closely with quantitative researchers and developers to refine models and enhance system performance.
- Ensure compliance with trading regulations and risk management frameworks.
Key Requirements
- Proven experience in algorithmic trading, with a focus on commodities or energy markets.
- Strong coding skills in C++ and/or Python for strategy development.
- Track record of designing, testing, and deploying proprietary trading strategies.
- Deep understanding of market-making, liquidity, and risk management.
- Ability to work in a high-pressure trading environment, making real-time decisions.
Why Join?
- Work with a top-tier energy trading firm at the forefront of algorithmic trading.
- Highly competitive compensation package of up to £400,000 total comp.
- Engage in cutting-edge technology and strategy development in a fast-paced environment.
- Collaborate with leading traders, quants, and technologists in the industry.
If you have a proven track record in building and executing algorithmic trading strategies and are eager to apply your expertise in the commodities sector, apply today.
Algorithmic Trader employer: OFS
Contact Detail:
OFS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Trader
✨Tip Number 1
Network with professionals in the energy trading sector. Attend industry conferences, webinars, or local meetups to connect with traders and quants who can provide insights into the company culture and expectations.
✨Tip Number 2
Stay updated on the latest trends and technologies in algorithmic trading, especially within commodities and energy markets. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss your previous trading strategies in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills and experience.
✨Tip Number 4
Familiarise yourself with the specific tools and platforms used in algorithmic trading. If possible, gain hands-on experience with C++ and Python coding, as well as any proprietary systems that may be relevant to the role.
We think you need these skills to ace Algorithmic Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in algorithmic trading, particularly in commodities or energy markets. Include specific examples of strategies you've developed and the technologies you've used, such as C++ or Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for algorithmic trading and detail how your skills align with the role's requirements. Mention your ability to work under pressure and your experience with market-making and risk management.
Showcase Relevant Projects: If you have worked on any relevant projects or have a portfolio of trading algorithms, include this information in your application. This can demonstrate your practical experience and technical skills effectively.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial in a high-stakes trading environment.
How to prepare for a job interview at OFS
✨Showcase Your Technical Skills
Be prepared to discuss your coding experience in C++ and Python. Bring examples of algorithms you've developed or optimised, and be ready to explain the thought process behind your strategies.
✨Demonstrate Market Knowledge
Familiarise yourself with current trends in the commodities and energy markets. Be ready to discuss how these trends could impact trading strategies and how you would adapt to changing market conditions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to make real-time decisions under pressure. Think of past experiences where you had to adjust strategies quickly and be ready to share those examples.
✨Highlight Collaboration Experience
Since the role involves working closely with quantitative researchers and developers, be sure to discuss any previous collaborative projects. Emphasise your ability to communicate complex ideas clearly and work as part of a team.
