Quantitative Developer

TankX is a quantitative trading company focused on high-frequency trading and liquidity provision in digital asset markets. We build technology-driven systems that combine software engineering, quantitative research, and real-time market data to operate in global exchanges. We offer a competitive monthly salary complemented by stock options and a profit-sharing model.

• Design and implement latency-critical trading infrastructure from scratch, handling millions of messages per second.
• Build and optimize high-performance C++ trading engines, focusing on cache-friendly code and lock-free concurrency.
• Develop and maintain connectivity to global exchanges using Web Socket and FIX APIs.
• Write and deploy production-grade code for market data processing and order execution logic.
• Partner with Quantitative Data Engineers to turn complex trading hypotheses into stable, high-performance production systems.
• Use profiling tools to identify bottlenecks in the Linux network stack and optimize system performance.

• Right to work in the UK, as this position is not eligible for visa sponsorship.
• Bachelor’s or Master’s degree in Computer Science, Electrical and Electronics Engineering, or a related quantitative field (Mathematics double major is a plus)
• Proficiency in a systems programming language (C and C++), experience with modern C++ is a plus
• Solid grasp of data structures, algorithms, and concurrency
• A "test-driven" mindset and the ability to write clean, maintainable, and production-ready code
• Strong debugging and problem-solving ability in production systems
• Curiosity about financial markets and willingness to learn quickly

• Prior experience in trading systems, particularly in digital asset markets
• Experience in network programming
• Understanding of concurrency and parallelism
• Good understanding of Operating Systems and Computer Architecture
• Familiarity with exchange connectivity and market data protocols, specifically Web Socket and FIX APIs
• Experience building high-performance or distributed systems
• Experience with Linux network stack for network latency optimizations
• Academic success or achievements in scientific olympiads, competitive programming contests or mathematics competitions

• Simplicity by design. Our systems are designed to remain lean, maintainable, and reliable, prioritizing clarity and correctness even under tight timelines.
• Risk-aware engineering. We incorporate risk awareness into architectural decisions and build fault-tolerant systems with safeguards and circuit-breakers to prevent cascading failures.
• Ownership and initiative. Our engineers take responsibility for outcomes and proactively unblock dependencies instead of waiting for direction.
• Fact-based reasoning. We rely on evidence and clear reasoning in discussions, exchanging feedback openly to reach the most accurate conclusions.
• Team-first mindset. We prioritize knowledge sharing and collaboration so the entire team moves faster, not just individuals.