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For Companies At a Glance
- Tasks: Conduct quantitative research and design arbitrage strategies in the crypto market.
- Company: Join a leading crypto trading firm with a focus on innovation.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Dive into the exciting world of crypto trading and make impactful decisions.
- Qualifications: 3+ years in trading, strong Python skills, and a solid grasp of crypto mechanics.
- Other info: Work in a dynamic environment with high ownership and minimal supervision.
The predicted salary is between 36000 - 60000 £ per year.
Key Responsibilities
- Conduct quantitative research on short-term inefficiencies, liquidity, and price dynamics within a single exchange.
- Design and evaluate arbitrage and market-making strategies, including:
- Funding-rate–driven strategies
- Perpetual futures pricing opportunities
- Inventory-aware liquidity provision
- Performance monitoring
- Post-trade analysis and P&L attribution
- Execution quality and slippage analysis
- Identification of strategy and operational failure modes
Required Qualifications
- Minimum 3 years of proven, relevant experience in this role is required.
- Strong proficiency in Python with experience contributing to research or production trading codebases.
- Optional/beneficial but not mandatory, working knowledge of at least one systems language such as C++ or Rust (or equivalent).
- Solid understanding of crypto market mechanics, including centralized exchange structures, perpetual futures, and funding rate dynamics.
- Practical experience with execution and risk management, including slippage, fees, partial fills, and basic inventory risk.
- Strong quantitative foundation in probability, statistics, time-series analysis, and market microstructure.
- Prior experience working with high-frequency market data and supporting live or paper-traded strategies, including performance monitoring, post-trade analysis, and execution quality assessment.
- Ability to conduct independent quantitative research, take ownership of well-scoped projects, and collaborate closely with experienced developers and researchers.
What We Expect at This Level
- Can take a strategy from hypothesis → backtest → deployment support → post-trade review.
- Understands the gap between backtest results and live performance.
- Able to diagnose underperformance using execution and market data.
- Comfortable working in a lean environment with high ownership and minimal supervision.
Nice to Have
- Experience supporting or operating live trading strategies.
- Familiarity with order-book-based or event-driven backtesting systems.
Crypto Quant Trader (Arbitrage & Market Making) in London employer: GOLDDEN VALLEY CAPITAL MANAGEMENT PTE. LTD.
Contact Detail:
GOLDDEN VALLEY CAPITAL MANAGEMENT PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Crypto Quant Trader (Arbitrage & Market Making) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the crypto trading scene. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research and trading strategies. Use GitHub to share your Python projects or any backtesting work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of crypto market mechanics and trading strategies. Be ready to discuss your past experiences and how you've tackled challenges in live trading. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and passion for crypto trading. Let's get you that interview!
We think you need these skills to ace Crypto Quant Trader (Arbitrage & Market Making) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any systems languages you know. We want to see how you've used these skills in real-world scenarios, especially in trading or quantitative research.
Be Specific About Your Experience: When detailing your past roles, focus on specific projects or strategies you've worked on. We love to see concrete examples of how you've tackled market inefficiencies or developed trading strategies.
Demonstrate Your Understanding of Crypto Markets: We’re looking for candidates who really get the ins and outs of crypto market mechanics. Make sure to mention any relevant experience with exchanges, perpetual futures, or liquidity provision in your application.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at GOLDDEN VALLEY CAPITAL MANAGEMENT PTE. LTD.
✨Know Your Numbers
Brush up on your quantitative skills! Be ready to discuss probability, statistics, and time-series analysis. Prepare examples of how you've applied these concepts in previous roles, especially in relation to crypto market mechanics.
✨Showcase Your Coding Skills
Since strong proficiency in Python is a must, make sure you can talk about your experience with it confidently. Bring along examples of your work, especially any contributions to research or production trading codebases. If you have experience with C++ or Rust, don’t forget to mention that too!
✨Understand the Market Dynamics
Familiarise yourself with the specific market dynamics mentioned in the job description, like funding rates and perpetual futures. Be prepared to discuss how these factors influence arbitrage and market-making strategies, and share any relevant experiences you've had.
✨Prepare for Scenario Questions
Expect questions that test your problem-solving skills in real-time scenarios. Think about how you would handle underperformance in a strategy or how to iterate on a strategy based on live trading feedback. Practising these scenarios will help you articulate your thought process clearly.
