Rust Quantitative Developer
LO:TECH is a capital markets firm for the onchain world, providing digital-asset market making, institutional-grade market data, analytics, and execution services. It serves institutional clients, trading firms, funds, banks, researchers, and token projects.
About LO:TECH
LO:TECH is a London-based trading business focused on onchain and digital-asset capital markets. Its proprietary high-frequency trading technology and infrastructure support liquidity provision across centralized and decentralized venues, agency execution algorithms, and institutional market-data services. The company provides live and historical tick-level crypto and prediction-market data through APIs, CSVs, websocket streams, and replay services, alongside transparent market-making dashboards and tailored enterprise data plans. Its clients include token projects, quantitative researchers, funds, banks, and other institutional market participants.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will extend and improve low-latency connectivity and trading infrastructure. You will fine-tune the core pricing engine, optimize network transmission, and design, develop, and test features for high-frequency trading, trade monitoring, and risk management. You will take ownership of core infrastructure areas and work closely with the founding team.
Requirements
- At least 4 years of strong applied Rust programming experience
- Experience building data-processing systems or other latency-sensitive applications
- Experience writing high-performance multithreaded code
- Experience developing scalable distributed systems
- Understanding of database systems and basic SQL queries
- Comfort working with Linux/Unix, AWS, Git, and Docker
- Be located in or willing to self-relocate to London
Responsibilities
- Extend and improve low-latency connectivity and trading infrastructure
- Fine-tune the core pricing engine for optimal throughput
- Optimize network infrastructure for fast data transmission
- Design, develop, and test features for high-frequency trading, trade monitoring, and risk management
