Quant Developer

Quant Developer

Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.

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 xwzovoh
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