Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and scale automated trading strategies from scratch in a dynamic environment.
- Company: Fast-growing trading firm launching a new systematic trading pod in London and Japan.
- Benefits: Highly competitive salary, performance-driven payouts, and full autonomy over strategy design.
- Why this job: Join at inception and make a real impact on global trading strategies.
- Qualifications: Strong track record in automated trading and proficiency in Python, C++, or Java.
- Other info: Ideal for those who thrive in a flat structure and enjoy wearing multiple hats.
The predicted salary is between 72000 - 108000 £ per year.
Our client is a global digital asset trading firm operating at the crossroads of quantitative finance and cryptocurrency markets. With deep experience across market making, systematic trading, and OTC execution, we partner with institutions and innovators by delivering liquidity, data-driven insight, and advanced trading technology. Their teams work across global markets, bridging traditional finance expertise with the rapidly evolving digital asset ecosystem.
The RoleAs a Systematic Trader, you will research, design, and deploy automated trading strategies within cryptocurrency markets. This role is highly quantitative and research-driven, focused on uncovering market structure signals, building robust models, and translating insights into live trading systems. You\’ll contribute directly to strategy performance while working alongside experienced traders, researchers, and engineers.
Your work will combine statistical analysis, algorithm design, and scalable system implementation in a fast-moving, data-rich environment.
Key Responsibilities
Design, develop, and deploy systematic trading strategies for digital asset markets
Analyze market microstructure and large datasets to enhance execution and model performance
Identify recurring patterns and convert research findings into actionable trading signals
Validate strategies through comprehensive backtesting and performance analysis
Collaborate with cross-functional teams to deliver end-to-end automated trading solutions
Stay informed on evolving crypto market dynamics, technologies, and regulatory trends
What We\’re Looking For
Degree in a quantitative or technical discipline such as Computer Science, Mathematics, Physics, Engineering, or Quantitative Finance
Strong analytical reasoning and problem-solving capabilities
Experience writing code to process, analyze, and model large datasets
Solid understanding of software engineering best practices
Preferred Experience
Background in electronic or algorithmic trading, particularly in FX, futures, or related markets
Strong programming skills, especially Python and/or lower-level languages
Familiarity with cryptocurrency market structure, exchange mechanics, or blockchain fundamentals
#J-18808-Ljbffr
Systematic Trader employer: AAA Global
Contact Detail:
AAA Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Trader
✨Tip Number 1
Network like a pro! Reach out to people in the trading industry, especially those who work at firms similar to the one you're eyeing. Use LinkedIn or industry events to make connections and get insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automated trading strategies and any projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on market dynamics and statistical modelling. Be ready to discuss your thought process behind your trading strategies and how you approach problem-solving in a fast-paced environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and genuinely interested in joining our team. Plus, it gives you a better chance to stand out from the crowd.
We think you need these skills to ace Systematic Trader
Some tips for your application 🫡
Show Your Passion for Trading: When writing your application, let your enthusiasm for systematic trading shine through. Share specific examples of your past experiences and how they relate to the role. We want to see that you’re not just qualified, but genuinely excited about the opportunity!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this position. Highlight your skills in Python, C++, or Java, and any relevant experience in developing automated trading strategies. We love seeing candidates who take the time to align their application with what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and skills. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our fast-growing team!
How to prepare for a job interview at AAA Global
✨Know Your Trading Strategies
Make sure you can clearly articulate your experience with automated trading strategies. Be ready to discuss specific examples of how you've researched, developed, and deployed these strategies in the past. This will show your depth of knowledge and practical experience.
✨Brush Up on Market Dynamics
Since a deep understanding of market dynamics is crucial for this role, take some time to review key concepts and recent trends in global markets. Being able to discuss how these dynamics influence trading decisions will impress your interviewers.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, C++, or Java. You might be asked to solve a coding problem or explain how you've used these languages in your previous projects. Practising common coding challenges can help you feel more confident.
✨Emphasise Your Collaborative Spirit
This role involves working closely with quant researchers and data scientists, so highlight your ability to collaborate effectively. Share examples of how you've worked in teams, especially in flat structures, and how you’ve contributed to driving projects forward.
