National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

C++ Quant Developer - Systematic Equities | London- Leading Multi-Strategy IM

Oxford Knight
London
11 months ago
Applications closed

Related Jobs

View all jobs

C# Developer

Trainee Recruitment Consultant (Progression to Director)

AI Performance Engineer

Algorithm Specialist

AI Lead

Data Engineer

C++ Quant Developer - Systematic Equities | LondonSalary:£150-350k TC

Summary

Superb opportunity to join one of the world's most prestigious hedge funds as a Quant Developer within Systematic Equities. This is a high impact role, within a small, entrepreneurial investment team, where you will be building critical trading infrastructure in a highly collaborative environment.

Working directly with the senior PM and quant researchers, your primary focus will be designing, coding, and maintaining tools for the systematic trading infrastructure. You'll develop data engineering and prediction tools for the systematic trading of equities, implement technology to enable large-scaleputational efforts in quant research, and build and maintain robust data pipelines and databases.

To succeed in this role, you will have exceptionalmunication skills,fortable facing off to the business, with a real drive for collaborative success.

Skills and Experience Required

5+ years' experience with a strongputer science or engineering background Expert-level C++ programming experience, plus advanced Python Track record in Linux-based development Experience with DevOps functions ( Google Cloud, Airflow, InfluxDB, Grafana) Degree (Masters or PhD preferred) inputer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field, from a top-tier university


Desirable
Knowledge of machine learning and statistical techniques and related libraries Experience as a quantitative developer supporting an intraday (or faster) system Experience with the development practices of large tech (Google/Meta, etc.) or finance firms
Benefits & Incentives:
Significant salary + bonus + benefits Dynamic, fast-paced environment; excellent career growth opportunities Collaborative culture and an energetic, dynamic engineering atmosphere Build and share knowledge with the smartest engineers in the industry

Contact
If you think you are a good fit for the role and would like further information, please contact:

Dominic Copsey

+44 (0) 203 475 7193
linkedin/in/dom-copsey-586478143/

Job ID z0NdBEIkGpAD

National AI Awards 2025

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.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.