At a Glance
- Tasks: Develop high-performance trading systems in Rust and collaborate with traders to implement strategies.
- Company: GSR is a leading market-making firm in cryptocurrency, providing liquidity globally since 2013.
- Benefits: Enjoy competitive salary, healthcare, 30 days holiday, and free lunches in the office.
- Why this job: Join a dynamic team shaping the future of crypto trading with innovative technology and a collaborative culture.
- Qualifications: One year of Rust experience required; familiarity with trading strategies and a relevant degree preferred.
- Other info: GSR values diversity and operates on a meritocratic basis, ensuring equal opportunities for all.
The predicted salary is between 43200 - 72000 £ per year.
Founded in 2013, GSR is a leading market-making and programmatic trading company in the fast-evolving world of cryptocurrency trading. With more than 200 employees in 5 countries, we provide billions of dollars of liquidity to cryptocurrency protocols and exchanges daily. We build long-term relationships with cryptocurrency communities and traditional investors by offering exceptional service, expertise, and trading capabilities tailored to their specific needs.
GSR works with token issuers, traders, investors, miners, and over 30 cryptocurrency exchanges worldwide. In volatile markets, we are a trusted partner to crypto-native builders and those exploring the industry for the first time.
Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, and Citadel, among others, has developed one of the world’s most robust trading platforms designed to navigate issues unique to the digital asset markets. We have continuously improved our technology, allowing our clients to scale and execute their strategies with the highest level of efficiency.
Working at GSR offers the opportunity to be deeply embedded in every major sector of the cryptocurrency ecosystem.
About the Role
Deliver high-performance trading systems in Rust that directly drive strategy execution and profitability. Enable traders and researchers to operate at scale by building robust infrastructure, analytics tools, and automation. Shape the architecture behind live trading, reduce latency, and solve complex real-time challenges in collaboration with a high-calibre, cross-functional team.
Responsibilities:
- Design, develop, and maintain a low-latency trading system in Rust.
- Collaborate with traders, engineers, and quants to design and implement trading strategies within market-making, prop, and OTC.
- Build new tools/infrastructure to facilitate research; e.g., analytics and optimization.
- Automate the deployment and monitoring of trading strategies.
- Troubleshoot and resolve technical issues in real-time.
Your Profile:
- Minimum of one year experience developing in Rust; will be tested.
- Familiarity with core trading strategies (e.g., market-making, arbitrage, execution).
- Strong understanding of algorithms and data structures, as well as quant finance concepts: limit-order books, market microstructure, pricing.
- Experience with real-time data processing, IPC/shared-memory architectures, and low-allocation/zero-copy design.
- A Bachelor's degree (minimum) or PhD (preferred) in Computer Science, Mathematics, Physics, or a related field.
- Prior experience in high-frequency trading, market-making, or other electronic trading environments is a strong advantage but not required.
What We Offer:
- A collaborative and transparent company culture founded on Integrity, Innovation, and Performance.
- Competitive Salary with two discretionary bonus payments a year.
- Benefits such as Healthcare, Dental, Vision, Retirement Planning, 30 days holiday, and free lunches when in the office (benefits vary depending on employment location).
- Regular Town Halls, team lunches, and drinks.
- A Corporate and Social Responsibility program as well as charity fundraising matching and volunteer days.
GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, color, country of origin, sexual orientation, gender, gender identity, gender expression, or age. We operate a meritocracy; all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role. Learn more about us at .
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GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, colour, country of origin, sexual orientation, gender, gender identity, gender expression or age. We operate a meritocracy, all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role. Learn more about us at
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Quantitative Developer London (London) employer: GSR Markets Limited
Contact Detail:
GSR Markets Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer London (London)
✨Tip Number 1
Familiarise yourself with Rust and its application in low-latency trading systems. Consider contributing to open-source projects or building your own small-scale trading applications to showcase your skills.
✨Tip Number 2
Network with professionals in the cryptocurrency and trading sectors. Attend meetups, webinars, or conferences to connect with industry experts and gain insights into the latest trends and technologies.
✨Tip Number 3
Brush up on your understanding of trading strategies, especially market-making and arbitrage. Being able to discuss these concepts intelligently during interviews will demonstrate your knowledge and enthusiasm for the role.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills.
We think you need these skills to ace Quantitative Developer London (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Rust and any relevant trading strategies. Emphasise your understanding of algorithms, data structures, and quant finance concepts to align with the job requirements.
Craft a Strong Cover Letter: In your cover letter, express your passion for cryptocurrency trading and how your skills can contribute to GSR's mission. Mention specific projects or experiences that demonstrate your ability to develop low-latency systems.
Showcase Relevant Experience: If you have prior experience in high-frequency trading or electronic trading environments, make sure to detail this in your application. Highlight any specific tools or technologies you've used that relate to the role.
Prepare for Technical Questions: Be ready to discuss your proficiency in Rust and your understanding of real-time data processing. Brush up on key trading concepts and be prepared to solve problems or answer questions related to low-latency system design.
How to prepare for a job interview at GSR Markets Limited
✨Brush Up on Rust
Since the role requires a minimum of one year of experience in Rust, make sure to review your knowledge and be prepared for technical questions or coding challenges. Practising common Rust programming problems can help you demonstrate your proficiency.
✨Understand Trading Concepts
Familiarise yourself with core trading strategies such as market-making and arbitrage. Be ready to discuss how these strategies work and how they can be implemented in a low-latency trading system.
✨Showcase Problem-Solving Skills
Prepare to discuss past experiences where you've solved complex real-time challenges. Highlight your ability to troubleshoot and resolve technical issues quickly, as this is crucial in a fast-paced trading environment.
✨Demonstrate Team Collaboration
GSR values collaboration across teams. Be ready to share examples of how you've worked effectively with traders, engineers, and quants in previous roles. Emphasise your communication skills and ability to contribute to a cross-functional team.