Quantitative Developer

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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.

What You'll Work On

  • 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 WebSocket 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.

Requirements of the Role

  • 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

Preferred Qualifications

  • 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 WebSocket 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

How We Work at TankX

  • 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.

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Company: TankX
Apply for the Quantitative Developer
Location: London
Job Description:

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.

What You’ll Work On

  • 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 WebSocket 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.

Requirements of the Role

  • 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

Preferred Qualifications

  • 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 WebSocket 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

How We Work at TankX

  • 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.

#J-18808-Ljbffr…

Posted: May 20th, 2026