Quantitative Developer

Understanding Recruitment; United Kingdom; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Remote-first setup

Flexible working hours

Yearly vacations

Job summary

Understanding Recruitment is hiring a Quant Dev to work on systems underpinning a global proprietary trading firm. The role blends quantitative research, trading logic, and high-performance C++ engineering to build and optimise latency-sensitive trading systems under real production load.

You will translate trading ideas into robust, production-grade C++ systems, focusing on latency, reliability, and scalability while collaborating with traders and researchers in a highly technical environment.

Qualifications

• Proficiency in modern C++ for backend or systems engineering.
• Experience building high-performance, low-latency systems.
• Strong understanding of multithreading and distributed systems.
• Familiarity with Linux environments.
• Exposure to trading systems or quant infrastructure is beneficial.
• Strong debugging and performance optimization skills.

Responsibilities

• Build and optimise low-latency trading systems and strategy infrastructure.
• Translate quantitative research and trading logic into production-grade C++ systems.
• Improve latency, throughput, and reliability across live trading infrastructure.
• Work on multithreaded and performance-critical backend systems under production load.
• Collaborate with traders, researchers, and engineers on strategy implementation and optimisation.
• Debug and resolve complex performance and infrastructure bottlenecks in live environments.

Skills

Modern C++

Low-latency systems

Multithreading

Distributed systems

Linux environments

Performance optimisation

Trading systems exposure

Job description

We’re currently hiring a Quant Dev to work on the systems underpinning a global proprietary trading firm.

This role sits at the intersection of quantitative research, trading logic, and high-performance C++ engineering, with a strong focus on building and optimising latency-sensitive trading systems operating under real production load.

The environment is highly technical and engineering-driven, with engineers working very closely alongside traders and researchers on live trading infrastructure and strategy development.

The Role

The trading team is growing rapidly, creating increasing demand for engineers who can help implement, optimise, and maintain live trading strategies at production quality and speed.

This hire will work closely with traders and researchers to translate trading ideas into robust, performance-critical systems, with a strong focus on latency, reliability, and scalability.

Responsibilities

• Build and optimise low-latency trading systems and strategy infrastructure.
• Translate quantitative research and trading logic into production-grade C++ systems.
• Improve latency, throughput, and reliability across live trading infrastructure.
• Work on multithreaded and performance-critical backend systems operating under real production load.
• Collaborate closely with traders, researchers, and engineers on strategy implementation and optimisation.
• Debug and resolve complex performance and infrastructure bottlenecks across live environments.

Required Skills & Experience

• Strong modern C++ experience within backend or systems engineering environments.
• Experience building high-performance, low-latency, or high-throughput systems.
• Strong understanding of multithreading, concurrency, and distributed systems concepts.
• Strong analytical and problem-solving capabilities.
• Experience working within Linux environments.
• Exposure to trading systems, quant infrastructure, HFT, or market-making environments is beneficial.
• Strong debugging and performance optimisation capabilities.

Why This Role

• Performance-critical engineering problems with direct business impact.
• Lean, highly technical environment.
• High ownership and autonomy.
• Close proximity to the trading side of the business.
• Flexible working hours and healthy work-life balance.
• Remote-first setup
• Yearly company vacations with the wider team.