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- Tasks: Develop high-performance trading algorithms and maintain front-office systems for crypto trading.
- Company: Join a leading crypto firm revolutionising digital asset trading infrastructure.
- Benefits: Enjoy top-tier equipment, 100% health coverage, and exciting team events.
- Why this job: Be part of a cutting-edge HFT project with a renowned expert in a dynamic international team.
- Qualifications: 2-8 years in HFT or trading systems; strong programming skills, especially in Rust or C/C++.
- Other info: Future perks include gym memberships and opportunities for international mobility.
The predicted salary is between 48000 - 84000 £ per year.
I'm working with the CTO of a modern, market-leading crypto firm who are on a mission to build the most advanced trading infrastructure for digital assets and power global liquidity across CeFi and DeFi. They're looking for an exceptional Quantitative Developer to join a newly formed high-frequency trading team. You will work at the cutting edge of low-latency trading and DeFi integration, while helping to build our new Rust-based trading platform from the ground up.
You'll join a team led by a renowned HFT expert and contribute directly to the design and scale-up of one of the most ambitious crypto trading systems in the industry.
Role:- Develop high-performance trading algorithms for low-latency and high-frequency strategies.
- Build and maintain front-office systems covering real-time data, risk, live trading, and post-trade workflows.
- Integrate on-chain data sources by connecting to DeFi protocols and real-time feeds.
- Design and run backtests to validate and refine your models.
- Implement risk controls like capital limits and stop-loss mechanisms.
- Monitor live systems and troubleshoot production issues in real time.
- ~2-8 years of commercial experience building HFT or trading systems.
- Strong understanding of order books, order state machines, and market microstructure.
- Excellent programming skills with a focus on performance and low-level optimization.
- Proficiency in Rust, or strong C/C++ experience with willingness to code in Rust full-time.
- Experience or interest in crypto markets is a strong plus.
- A leading role in a greenfield HFT project in the crypto space.
- International team and work environment.
- Top-tier equipment: MacBook, 4K monitor, noise-canceling headphones, and more.
- 100% health coverage.
- Team offsites and social events.
- Future perks: gym memberships, international mobility, and more on the way.
Quantitative Developer - Digital Assets employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Digital Assets
✨Tip Number 1
Familiarise yourself with the latest trends in high-frequency trading and digital assets. Understanding the current landscape will not only help you in interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the crypto and trading sectors. Attend industry meetups or online webinars to connect with potential colleagues and learn more about the company culture at the firm you're applying to.
✨Tip Number 3
Brush up on your Rust programming skills, as this is a key requirement for the role. Consider contributing to open-source projects or building your own small applications to showcase your proficiency.
✨Tip Number 4
Prepare to discuss your experience with order books and market microstructure in detail. Be ready to share specific examples of how you've applied this knowledge in previous roles, as it will be crucial for the position.
We think you need these skills to ace Quantitative Developer - Digital Assets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in high-frequency trading systems and your programming skills, especially in Rust or C/C++. Emphasise any projects or roles that demonstrate your understanding of order books and market microstructure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the crypto markets and your excitement about the opportunity to work on a greenfield HFT project. Mention specific experiences that align with the role's requirements, such as developing trading algorithms or integrating data sources.
Showcase Your Technical Skills: If applicable, include links to any relevant projects or code repositories that showcase your programming abilities and understanding of low-latency trading. This could be GitHub profiles or personal projects that demonstrate your expertise in Rust or C/C++.
Prepare for Technical Questions: Anticipate technical questions related to trading algorithms, risk controls, and system optimisation. Brush up on your knowledge of backtesting methodologies and be ready to discuss how you would approach troubleshooting production issues in real-time.
How to prepare for a job interview at Stanford Black Limited
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, especially in Rust or C/C++. Highlight specific projects where you optimised performance or built trading systems. This is your chance to demonstrate your technical prowess and understanding of low-latency trading.
✨Understand Market Microstructure
Familiarise yourself with concepts like order books and order state machines. Be ready to explain how these elements impact trading strategies. Showing a solid grasp of market microstructure will set you apart as a candidate who truly understands the trading environment.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems related to algorithm design and optimisation. Being able to think on your feet and solve problems in real-time will demonstrate your readiness for the fast-paced world of high-frequency trading.
✨Express Your Interest in Crypto
Since the role is within the crypto space, convey your passion for digital assets and DeFi. Share any relevant experiences or projects you've worked on in this area. This enthusiasm can make a significant difference in how interviewers perceive your fit for the team.
