Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Developer

P2P
City of London
3 days ago
Create job alert
About Us

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 www.gsr.io.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.