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TXP Technology x People Reedcouk · Posted 11d ago

Quant Developer

London, United Kingdom GBP 55-55 / hour Permanent Remote

Permanent Reedcouk
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Indexed description

Quant Developer


Location: Barbican, London - primarily remote, occasional hybrid
Contract: 6 months (start: 01/07/2026)
Rate: £448 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)

  • 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


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