Quant Engineer Rust

Our client is a globally recognised name in High-Frequency Prop Trading and Market Making and known for consistent success and impressive profitability. With continued growth across the firm, they are now looking to expand their world-class Quant Development team by hiring a genuine Quant Engineer with some commercial exposure to coding in Rust. (FYI: the base salary advertised does not include cash bonuses, paid bi-annually. Your total annual will vary but is typically 60-100% of your base salary) THE ROLE: The successful applicant will work within a small autonomous team that acts as a conduit between the low-level core development team and the front office quant researcher and traders across multiple trading platforms (Prop, Market Making & OTC Derivatives) You will work closely with the hands-on Quant Dev Lead within a flat structure, enjoy significant autonomy and a particularly collaborative relationship with the front office where roles/responsibilities typically overlap. For context, it is not unusual for the Quant Dev team to design and deploy trading strategies directly, so this is a fantastic opportunity for a talent Quantitatively focused engineer to showcase their talents. The role focuses on designing & implementing Quant Trading strategies as opposed to having more of a lower-level technical latency/performance emphasis so you will need to demonstrate a strong understanding of Systematic Quant/Algo Trading and have strong mathematical capabilities. KEY RESPOSIBILITIES: * Collaborating with Quant Traders & Researchers to design, implement, and test trading strategies and algorithms * Automating the deployment and monitoring of trading strategies to ensure optimum effectiveness * Creating tooling and infrastructure to support research and improve decision-making, such as data analytics and strategy optimization tools * Architecting and maintaining high-performance trading systems using Rust SKILLS / EXPERIENCE REQUIRED: * Some demonstrable commercial experience coding in Rust * Understanding of trading strategies such as arbitrage, market-making, or execution flow * Solid grasp of algorithm design, data structures, and quantitative finance fundamentals — including concepts like limit order books, price discovery, and microstructure dynamics * Exposure to performance-critical systems: real-time data flows, shared memory communication, and techniques to minimize memory allocation and copying * Degree in a technical discipline such as Computer Science, Engineering, Mathematics, or Physics (postgraduate qualification a plus) * Prior experience in high-frequency trading or electronic markets is beneficial, but not mandatory

Location: W1, Marylebone High Street,London, GB

Posted Date: 7/14/2025