C++ Engineer, Real-Time Trading Systems

Harrington Starr; England; On-site; GBP 38,000 - 60,000; Full time

Job summary

Harrington Starr is seeking an enthusiastic early-career software engineer to join their engineering group building and supporting real-time trading systems. You will contribute across the full software lifecycle, implementing scalable, low-latency solutions in C++ and Python.

The role emphasizes delivering production-grade software, collaborating with front-office teams, and gaining exposure to algorithmic trading infrastructure and risk platforms. Strong academic credentials are required.

Qualifications

• 0–2 years of experience through internships, placements, or academic projects.
• Strong C++ and Python programming skills.
• Solid foundations in data structures, algorithms, and OS concepts.
• Comfortable in Linux/Unix environments.
• Interest in financial markets and trading tech.

Responsibilities

• Build, test, and enhance high-performance trading systems using C++ and Python.
• Translate models and trading logic into production-ready software.
• Develop internal tools for front-office trading teams.
• Improve market data ingestion, exchange connectivity, and real-time data flows.
• Contribute to distributed systems, low-latency communication, and performance tuning.
• Participate in design discussions, code reviews, profiling, and CI/CD improvements.
• Gain hands-on exposure to algorithmic trading infrastructure, market structure, and risk platforms.

Skills

C++

Python

Linux/Unix

Data structures/Algorithms

Low-latency

Distributed systems

Concurrency

Network programming

Open-source projects

Team collaboration

Education

Bachelor's or Master's in Math/Physics/Engineering

Job description

Harrington Starr is seeking an enthusiastic early-career software engineer to join their engineering group building and supporting real-time trading systems. You will contribute across the full software lifecycle, implementing scalable, low-latency solutions in C++ and Python.

The role emphasizes delivering production-grade software, collaborating with front-office teams, and gaining exposure to algorithmic trading infrastructure and risk platforms. Strong academic credentials are required.