Quant Developer

Salary: £114,400 - 114,400 per year

Requirements

• 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, especially AWS
• Hands-on experience with containerisation, especially Docker
• Experience with CI/CD and DevOps practices
• Solid understanding of intraday and day-ahead market processes
• Experience with energy trading platforms and APIs such as EATT and AIDA is a plus
• Exposure to quantitative optimisation models such as CPLEX is a plus
• Background in high-performance or low-latency systems is a plus

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, including monitoring, reliability, and improvements
• Collaborate with engineering, data, and trading teams to deliver robust solutions
• Drive continuous improvement across performance, scalability, and reliability
• Deliver AWS Fargate-based backtesting infrastructure
• Deliver a Rust-based orchestration UI
• Integrate optimisation models such as CPLEX
• Build external data provisioning and ingestion services
• Create reproducible and auditable backtesting frameworks

Technologies

• AWS
• Azure
• CI/CD
• Cloud
• Datadog
• DevOps
• Docker
• FastAPI
• Python
• Quant
• Rust
• UX UI Design
• API

More

We are hiring an experienced Quant Developer to join us on a 6-month contract starting 01/07/2026, based primarily remotely with occasional hybrid work from Barbican, London. We operate in the Energy Trading and Commodities Trading industry, and 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. You will work within a modern, cloud-native technical environment using Python, Rust, FastAPI, NiceGUI, AWS, Docker, Docker Compose, AWS Fargate, Azure DevOps, CI/CD pipelines, Entra ID, Datadog, CPLEX, and energy-market data and APIs.

last updated 23 week of 2026