Quantitative Developer

Quantitative Developer – Systematic Trading

Global Hedge Fund - London based

Competitive Comp

5 days onsite

An elite global hedge fund is looking for a Quantitative Developer to join its systematic trading division, working on the technology behind equity market-neutral strategies.

You'll sit at the crossroads of engineering and research, building trading models, analytics, and scalable systems in close collaboration with world-class quants.

The team:

Join a global group of 60+ engineers from diverse, high-calibre technical backgrounds.

Small, agile, and highly collaborative teams structured by asset class - with plenty of opportunity to rotate, cross-train, and expand your impact across the business.

Tech Environment

• Languages: Python (NumPy, SciPy, Pandas, scikit-learn); high-performance systems in Java/C++
• Tools: Airflow, Kafka, Bitbucket, Jenkins, Grafana, Prometheus, ELK
• Infra: Docker, Kubernetes, OpenStack, Ansible, Terraform
• Data: ArcticDB – the firm's proprietary DataFrame database

What You'll Do

• Partner with researchers to design and productionise new trading models and strategies
• Develop robust systems for research, analytics, and execution
• Contribute to shared frameworks and libraries supporting systematic trading globally

What You'll Bring

• Strong Python engineering background, solid on Linux
• Proficiency with data libraries (NumPy, SciPy, Pandas) and workflow automation
• Familiarity with financial instruments and markets
• Clean coding habits – agile development, CI/CD, testing, and code reviews
• Strong quantitative foundation in statistics, optimisation, or asset pricing

Bonus Points

• Front-office quant dev experience in a hedge fund, asset manager, or bank
• Exposure to machine learning / NLP (TensorFlow, scikit-learn)
• Experience building data visualisation or analytical web tools

Who You Are

STEM graduate from a top-tier university, passionate about clean, scalable engineering.

Analytical, curious, and collaborative - you thrive on solving complex problems and building technology that moves markets.

Apply here or reach out to Lucia Paolinelli for a faster response.