At a Glance
- Tasks: Develop advanced algorithmic trading systems and enhance automated bidding solutions.
- Company: Join a leading energy trading firm with a focus on innovation.
- Benefits: Competitive daily rate, flexible remote work, and opportunities for skill development.
- Other info: Dynamic role with potential for growth in a fast-paced environment.
- Why this job: Make an impact in the energy market with cutting-edge technology and your coding skills.
- Qualifications: Experience in Python or Rust, and knowledge of cloud architectures and CI/CD.
The predicted salary is between 81000 - 90000 £ per year.
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
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
Quant Developer in Manchester employer: TXP
As a Quant Developer at our Barbican, London location, you will join a dynamic and innovative team dedicated to advancing algorithmic trading in the energy sector. We offer a flexible work culture with primarily remote opportunities, competitive daily rates, and a commitment to employee growth through continuous learning and collaboration. Our modern technical environment empowers you to take ownership of your projects while contributing to impactful solutions in a rapidly evolving market.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading and commodities sector. Attend meetups, webinars, or even just grab a coffee with someone in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your algorithmic trading projects, especially those using Python or Rust. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Highlight your experience with back testing frameworks and cloud architectures in your conversations. Make it clear how your skills align with their needs.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace Quant Developer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quant Developer role. Highlight your experience with algorithmic trading systems, Python, and Rust. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for energy trading and how your background aligns with our needs. Let us know why you're excited about this opportunity at StudySmarter.
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building backtesting frameworks or integrating datasets, we love to see practical examples of your work.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at TXP
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Rust, and AWS. Brush up on your knowledge of algorithmic trading systems and back testing frameworks, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles, especially related to building scalable trading systems. Use examples that highlight your ability to troubleshoot and improve existing processes, as operational ownership is key in this role.
✨Understand the Energy Trading Sector
Familiarise yourself with the energy trading landscape, including intraday and day-ahead market processes. This knowledge will not only impress your interviewers but also help you relate your technical skills to the industry context.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, or future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
