Quantitative Developer
SKILLS
FULL DESCRIPTION
Quantitative Developer
[Employer hidden — view at passion-project.co.uk] is looking for a Quantitative Developer to join the team in London. This is an on-site, full-time role focused on building low-latency trading systems in Rust.
About Us
Founded in 2013, [Employer hidden] 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. [Employer hidden] works with token issuers, traders, investors, miners, and over 30 cryptocurrency exchanges worldwide. Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, and Citadel has developed one of the world’s most robust trading platforms. Learn more at www.[Employer hidden].io.
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.
[Employer hidden] is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics. Learn more about us at www.[Employer hidden].io.