Rust Quantitative Developer
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Summary
LO:TECH is hiring a Rust Quantitative Developer in London to build and optimize low-latency trading infrastructure: extending connectivity, fine-tuning the core pricing engine, optimizing network transmission, and developing features for high-frequency trading, trade monitoring, and risk management using Rust, Linux, AWS, and Docker.
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.
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
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