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- Tasks: Lead the design and execution of equity trading strategies in a dynamic market environment.
- Company: RGG Capital is a private investment office based in Dubai, focused on long-term, impactful trading.
- Benefits: Enjoy a tax-free lifestyle in Dubai with opportunities for professional growth and collaboration.
- Why this job: Join a high-performance team and make a real impact in global markets while developing your skills.
- Qualifications: 5+ years in algorithmic trading, strong coding skills in Python/C++, and deep market knowledge required.
- Other info: Candidates will have a confidential discussion with our CIO if selected.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
RGG Capital is a private investment office seeking disciplined professionals who value long-term thinking, analytical depth, and serious execution. If you're looking to do impactful work behind the scenes, you're in the right place.
We’re building a lean, high-performance team to navigate complex global markets from our strategic base in Dubai, a city offering unmatched financial and lifestyle advantages, including a tax-free environment.
We are seeking a seasoned Algorithmic Equity Trader to lead the design, execution, and continuous refinement of our equity trading strategies. The ideal candidate combines deep market microstructure expertise with hands-on experience developing execution algorithms across global equity markets.
Key Responsibilities
- Design, implement, and optimize algorithmic execution strategies (VWAP, TWAP, IS, POV, MOC, etc.).
- Monitor and manage intraday execution performance across multiple venues and liquidity pools.
- Analyze slippage, transaction costs, and market impact using real-time and post-trade TCA.
- Collaborate with quant researchers, infrastructure engineers, and compliance teams.
- Maintain robust risk controls and real-time fail-safes (price bands, kill-switches, latency monitors).
- Contribute to market data pipeline design, routing logic, and venue selection models.
Required Skills and Experience
- 5+ years of experience in equity algorithmic or systematic trading.
- Strong knowledge of market microstructure, order types, and venue dynamics (US and/or global).
- Proficiency with execution analytics, TCA frameworks, and slippage decomposition.
- Hands-on experience coding in Python and/or C++ for execution logic and data analysis.
- Familiarity with FIX protocol and low-latency infrastructure.
- Proven ability to manage execution during high-volatility events.
If your expertise and track record align with this unique leadership opportunity, we invite you to take the next step.
Click "Apply" to submit your profile. Suitable candidates will be contacted for an initial confidential discussion with our CIO.
Algorithmic Equity Trader (Job Onsite based in Dubai) employer: RGG Capital
Contact Detail:
RGG Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Equity Trader (Job Onsite based in Dubai)
✨Tip Number 1
Network with professionals in the trading and finance sectors, especially those who have experience in algorithmic trading. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in equity trading.
✨Tip Number 2
Familiarise yourself with the specific trading strategies mentioned in the job description, such as VWAP and TWAP. Being able to discuss these strategies intelligently during an interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Showcase your coding skills by working on personal projects or contributing to open-source projects related to trading algorithms. This hands-on experience can be a great talking point in interviews and shows your commitment to continuous learning.
✨Tip Number 4
Stay updated on market trends and news, particularly those affecting global equity markets. Being well-informed will not only help you in interviews but also demonstrate your passion for the field and your ability to make informed decisions under pressure.
We think you need these skills to ace Algorithmic Equity Trader (Job Onsite based in Dubai)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in algorithmic trading and market microstructure. Use specific examples that demonstrate your expertise in designing and executing trading strategies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for algorithmic trading and your understanding of the role. Mention your hands-on experience with Python or C++, and how it relates to the responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, emphasise your proficiency with execution analytics and TCA frameworks. Discuss any experience you have with managing execution during high-volatility events, as this is crucial for the role.
Showcase Collaboration Experience: Since the role involves working with quant researchers and compliance teams, include examples of past collaborations. Highlight how you contributed to team projects and the outcomes achieved.
How to prepare for a job interview at RGG Capital
✨Showcase Your Technical Skills
Be prepared to discuss your coding experience in Python and C++. Bring examples of how you've implemented execution algorithms or data analysis in past roles. This will demonstrate your hands-on expertise and technical proficiency.
✨Understand Market Microstructure
Brush up on your knowledge of market microstructure, order types, and venue dynamics. Be ready to explain how these concepts influence trading strategies and execution performance, as this is crucial for the role.
✨Discuss Risk Management Strategies
Prepare to talk about your experience with risk controls and fail-safes during high-volatility events. Highlight specific instances where you successfully managed execution risks and the outcomes of those situations.
✨Collaborate and Communicate
Emphasise your ability to work with cross-functional teams, such as quant researchers and compliance teams. Share examples of successful collaborations that led to improved trading strategies or execution processes.
