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For Companies At a Glance
- Tasks: Conduct research on crypto market inefficiencies and design trading strategies.
- 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 understanding 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) 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)
✨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 market mechanics and trading strategies. Be ready to discuss your past experiences and how you've tackled challenges in live trading. Confidence is key, so practice makes perfect!
✨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 show us why you're the perfect fit for the Crypto Quant Trader role.
We think you need these skills to ace Crypto Quant Trader (Arbitrage & Market Making)
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 the specifics of your responsibilities and achievements. We love numbers, so if you can quantify your impact, do it! This helps us understand your contributions better.
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the key responsibilities and qualifications mentioned in the job description. We appreciate when candidates show they’ve done their homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at GOLDDEN VALLEY CAPITAL MANAGEMENT PTE. LTD.
✨Know Your Numbers
Brush up on your quantitative skills! Be prepared to discuss probability, statistics, and time-series analysis. You might be asked to solve a problem on the spot, so having a solid grasp of these concepts will help you shine.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must, make sure you can talk about your past projects. Bring examples of your contributions to research or production trading codebases, and be ready to discuss any challenges you faced and how you overcame them.
✨Understand Market Mechanics
Familiarise yourself with crypto market structures, especially around perpetual futures and funding rates. Being able to explain these concepts clearly will demonstrate your understanding and passion for the field.
✨Prepare for Strategy Discussions
Think about strategies you've developed or worked on in the past. Be ready to discuss how you took a strategy from hypothesis to backtest to deployment, and how you handled performance monitoring and post-trade analysis. This shows you can take ownership and understand the full cycle of trading strategies.
