Senior Python Engineer – Real-Time Commodities Trading

Setec Alpha

Greater London

On-site

GBP 120,000 - 180,000

Full time

8 days ago
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Job summary

Setec Alpha in London is seeking a Senior Python Engineer for our Commodities desk. You will build advanced research infrastructure, real-time event-driven platforms for signal generation, trading decisions and execution, and own the reliability of the technology stack across research and production.

Ideal candidates have 5+ years in computer science or engineering, energy trading experience, strong Python and distributed systems skills (Docker, Kubernetes, Ceph, MongoDB, Kafka), and experience

Qualifications

  • 5+ years of relevant industry experience in computer science or engineering.
  • Energy Trading or Commodities trading experience preferred.
  • Experience designing and building distributed computing systems.
  • Large-scale time-series data ingestion, storage, and processing platforms.

Responsibilities

  • Build advanced research infrastructure and tooling to support alpha generation and strategy development.
  • Engineer real-time, event-driven platforms for signal generation, trading decisions, and execution.
  • Architect, develop, and maintain critical systems for real-time data ingestion and distributed computation across research and production environments.
  • Own the reliability and day-to-day operation of the technology stack, ensuring resilience and rapid issue resolution.

Skills

Python
Distributed computing
Docker
Kubernetes
NumPy
Scikit-learn
PyTorch
DevOps
Communication

Education

Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related quantitative discipline

Tools

Ceph
MongoDB
Kafka

Job description

Setec Alpha in London is seeking a Senior Python Engineer for our Commodities desk. You will build advanced research infrastructure, real-time event-driven platforms for signal generation, trading decisions and execution, and own the reliability of the technology stack across research and production.

Ideal candidates have 5+ years in computer science or engineering, energy trading experience, strong Python and distributed systems skills (Docker, Kubernetes, Ceph, MongoDB, Kafka), and experience

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