C++ Developer - High-Frequency Trading

Campbell North Ltd.; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading tech-driven trading firm is seeking an exceptional C++ Developer to drive the development and optimization of their high-performance trading systems. The ideal candidate will possess expert-level C++ skills, experience in building low-latency systems, and a strong understanding of networking protocols. This role offers the opportunity to work on cutting-edge technologies in a fast-paced trading environment.

Qualifications

• 2+ years of experience in C++ development.
• Proven experience building low-latency, high-performance systems.
• Hands-on experience with real-time, high-throughput applications.

Responsibilities

• Drive the development and optimization of high-performance trading systems.
• Focus on ultra-low-latency infrastructure and execution speed.
• Ensure robust system reliability.

Skills

Expert-level C++ skills

Networking protocols (TCP/UDP)

Concurrency and multi-threading

Linux-based development

System performance tuning

Real-time, high-throughput applications

Education

Bachelor’s in Mathematics, Computer Science or Quantitative field

Job description

Overview

A leading tech driven Trading firm are seeking an exceptional C++ Developer to help drive the development and optimization of their high-performance trading systems.

This team focuses on building ultra-low-latency infrastructure, optimizing execution speed, and ensuring robust system reliability. The ideal candidate will have deep expertise in modern C++, systems programming, and high-performance computing.

Required Qualifications

• 2+ years experience
• Expert-level C++ skills, with strong knowledge of modern C++ standards (C++17/20).
• Proven experience building low-latency, high-performance systems.
• Deep understanding of networking protocols (TCP/UDP), concurrency, and multi-threading.
• Proficient in Linux-based development and system performance tuning.
• Hands-on experience with real-time, high-throughput applications.
• Bachelor’s in either Mathematics, Computer science or other Quantitative field from a leading academic institution.