Python Developer
Posted
Summary
Senior Python Engineer at a hedge fund's commodities trading business in London, building research infrastructure, real-time event-driven trading platforms, and distributed data systems. Core stack includes Python with Docker, Kubernetes, Kafka, MongoDB, and quantitative libraries like NumPy and PyTorch.
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.