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Quant Developer
Location: Barbican, London – primarily remote, occasional hybrid
Contract: 6 months (start: 01/07/2026)
Rate: £450 per day inside IR35
Clearance: Not required
Sector Experience: Energy Trading –Commodities Trading Industry.
Overview
We’re hiring an experienced Quant Developer, working on advanced algorithmic trading and automated bidding systems within energy markets.
This is a highly technical role focused on building scalable, production-grade trading and back testing infrastructure, with ownership across the full lifecycle – from development through to operations and continuous improvement.
Key Responsibilities
- Develop and enhance algorithmic trading and automated bidding solutions
- Build scalable back testing frameworks and validation pipelines
- Integrate new datasets, products, and external data sources
- Take operational ownership of deployed systems (monitoring, reliability, improvements)
- Collaborate with engineering, data, and trading teams to deliver robust solutions
- Drive continuous improvement across performance, scalability, and reliability
Technical Environment
You’ll be working with a modern, cloud-native stack, including:
- Languages & Frameworks: Python, Rust, FastAPI, NiceGUI
- Cloud & Infrastructure: AWS, Docker, Docker Compose, AWS Fargate
- DevOps & CI/CD: Azure DevOps, CI/CD pipelines, Entra ID
- Monitoring: Datadog
- Optimisation: CPLEX
- Data & APIs: EATT API, AIDA
What You’ll Be Delivering
- AWS Fargate-based backtesting infrastructure
- Rust-based orchestration UI
- Integration of optimisation models (CPLEX)
- External data provisioning and ingestion services
- Reproducible and auditable backtesting frameworks
Requirements (Must-Have)
- Proven experience building algorithmic trading systems in Python and/or Rust
- Strong background in back testing frameworks and data pipelines
- Experience with cloud-based architectures (AWS) and containerisation (Docker)
- Hands-on experience with CI/CD and DevOps practices
- Solid understanding of intraday and day-ahead market processes
Nice to Have
- Experience with energy trading platforms and APIs (EATT, AIDA)
- Exposure to quantitative optimisation models (e.g. CPLEX)
- Background in high-performance or low-latency systems