Quantitative Developer

Role Overview

A leading trading firm is looking for a Quantitative Developer with strong C++ and low-latency engineering experience. This position sits at the core of a live trading environment, where the software you build has a direct effect on market execution and overall P&L. The role can be based remotely, and visa plus relocation support is also available.

About the Team and Environment

• The work takes place in a systematic and high-frequency trading setup.
• The team puts a strong emphasis on performance engineering and ultra-low latency.
• Quant researchers, traders, and engineers work closely together on the same problems.
• The organization prefers lean, high-performing teams with very high standards.
• Engineering quality matters here, with a focus on clean code, profiling, and continuous optimisation.

Key Responsibilities

• Convert quantitative research ideas into production-ready C++17+ code.
• Improve tick-to-trade execution paths to reduce latency as much as possible.
• Design and enhance trading strategies that are sensitive to execution speed.
• Investigate bottlenecks and tune performance across critical systems.
• Collaborate directly with traders and researchers without intermediary layers.
• Track and support live production systems using observability tools such as Grafana and Prometheus.
• Contribute engineering improvements that deliver measurable business impact.

Required Experience and Skills

• 4 to 6 years of hands-on C++ experience in performance-sensitive environments.
• Strong understanding of multithreading, concurrency, and lock-free programming.
• Solid grounding in algorithms, data structures, and systems programming fundamentals.
• Prior exposure to low-latency or real-time systems.
• Ability to profile, troubleshoot, and debug production systems effectively.

Preferred Background

• Experience with network programming such as TCP/UDP, multicast, or FIX protocols.
• Exposure to trading or market infrastructure.
• Familiarity with AWS for backtesting or research infrastructure.
• Knowledge of Python or Bash scripting.

Why This Opportunity Stands Out

• Your work will run in live trading production, not just in experimentation.
• The role offers a direct connection between your code and performance outcomes.
• You will work alongside highly skilled traders and quantitative specialists.
• The position comes with a high level of ownership and minimal bureaucracy.
• For the right candidate, the company will cover visa and relocation costs or support remote work.

Additional Information

This opportunity is best suited to engineers who enjoy pushing systems to the limit, especially those who like improving latency by microseconds and working on high-impact infrastructure in a fast-moving trading environment.