Quant Developer
Quant Developer Location: Barbican, London The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.
- 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) xkybehq 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
- 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) xkybehq 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