Quant Developer

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 experiencedQuant Developer, working on advancedalgorithmic trading and automated bidding systems within energy markets.

This is a highly technical role focused on buildingscalable, 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 enhancealgorithmic trading and automated bidding solutions
• Buildscalable back testing frameworks and validation pipelines
• Integrate newdatasets, products, and external data sources
• Takeoperational ownership of deployed systems (monitoring, reliability, improvements)
• Collaborate with engineering, data, and trading teams to deliver robust solutions
• Drivecontinuous 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-basedbacktesting infrastructure
• Rust-based orchestration UI
• Integration ofoptimisation models (CPLEX)
• External data provisioning and ingestion services
• Reproducible and auditable backtesting frameworks

Requirements (Must-Have)

• Proven experience buildingalgorithmic trading systems in Python and/or Rust
• Strong background inback testing frameworks and data pipelines
• Experience withcloud-based architectures (AWS) and containerisation (Docker)
• Hands-on experience withCI/CD and DevOps practices
• Solid understanding ofintraday and day-ahead market processes

Nice to Have

• Experience withenergy trading platforms and APIs (EATT, AIDA)
• Exposure toquantitative optimisation models (e.g. CPLEX)
• Background inhigh-performance or low-latency systems