Python Developer

My client are a Hedge Fund seeking a Senior Python Engineer for their Commodities business in London. The candidate must have worked within a commodities or energy trading environment as a developer.

• Build advanced research infrastructure and tooling that supports and accelerates alpha generation and strategy development.
• Engineer real-time, event-driven platforms for signal generation, trading decisions, and execution.
• Architect, develop, and maintain critical systems and services supporting real-time data ingestion, retrieval, and distributed computation across both research and production environments.
• Take ownership of the reliability and day-to-day operation of the technology stack, ensuring system resilience, performance, and rapid identification and resolution of issues.

Preferred Technical Skills

• Outstanding programming ability in both high- and low-level languages, particularly Python.
• Strong understanding of modern distributed computing technologies, including Docker, Kubernetes, Ceph, MongoDB, and Kafka.
• Solid theoretical knowledge of numerical computing, online algorithms, data structures, networking, databases, and operating systems.
• Experience with quantitative research ecosystems and libraries such as NumPy, Polars, Scikit-learn, and PyTorch.
• Strong DevOps capabilities, including version control, automated testing, build systems, and software release processes.
• Excellent communication, analytical thinking, and problem-solving abilities.

Preferred Experience

• A strong academic and professional foundation in computer science or engineering, with 5+ years of relevant industry experience.
• Energy Trading or Commodities trading experience
• Proven experience designing and building:
• Distributed computing systems.
• Large-scale time-series data ingestion, storage, and processing platforms.
• Demonstrated ability to architect and deliver complex, large-scale software systems.
• Experience working with systematic futures trading strategies and infrastructure.
• Familiarity with CI/CD practices and software delivery within large, complex codebases.
• Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or a related quantitative discipline.