C++ Developer

Langbourn
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Machine Learning Engineer

Senior Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Senior Machine Learning Scientist

Computer Vision and Artificial Intelligence Engineer

C++ Developer – Quantitative Trading Systems

Are you ready to push the boundaries of C++ development in a live trading environment?

Our client, a quantitative investment firm, uses scientific rigor and mathematical precision to optimize trading strategies in global markets. They’re looking for a C++ Developer who has proven experience in asset management, fintech, or hedge funds. This isn’t optional; if your background doesn’t align with these industries, this role isn’t the right fit. In this high-impact position, you’ll collaborate closely with Co-CTOs, building and scaling systems that enable real-time trading decisions based on complex market data.

What sets this firm apart? This firm doesn’t deal in theoretical coding—every line you write directly contributes to systematic trading success, with an immediate impact across trading, data, research, and operations. The Core Technology team combines engineering, data science, and trading expertise to create solutions that drive investment performance, making this a unique opportunity for developers who understand the intricacies of financial systems and real-time applications.

Your mission:

  • Build, enhance, and maintain the core components of the trading system, from exchange connectivity to monitoring systems.

  • Design new features and collaborate with internal users to continuously improve the proprietary platform.

  • Participate in on-call rotations to support a 24/7 trading environment, handling troubleshooting as issues arise.

  • Support projects beyond the core trading system, contributing to data pipelines, operational tooling, and post-trade systems as needed.

    What you bring:

  • Mandatory: A background in asset management, fintech, or hedge funds.

  • UK Citizenship (this role requires UK-based applicants with full rights to work).

  • A degree in Computer Science, Electrical Engineering, or similar.

  • 2+ years of professional experience in C++ and Python, ideally within high-performance environments.

  • Knowledge of distributed systems and network programming; experience with C++ template metaprogramming is a plus.

  • A keen interest in trading technology and a readiness to tackle complex challenges.

    If you’re a UK citizen with industry-specific experience and a desire to dive into quantitative trading systems, this role offers exposure to all areas of the firm and an environment where innovative ideas thrive. Apply today to join a team at the forefront of financial technology

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.