Quant Developer

• 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

• 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 (eg CPLEX)
• Background in high-performance or low-latency systems