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For Companies At a Glance
- Tasks: Execute trading strategies and optimise energy assets using AI and analytics.
- Company: Emerging AI infrastructure start-up focused on renewable energy.
- Benefits: Competitive pay, hybrid work options, and a chance to shape financial strategy.
- Why this job: Join a cutting-edge team and make a real impact in the energy sector.
- Qualifications: Experience in energy trading and strong analytical skills required.
- Other info: Dynamic role with significant exposure to leadership and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are an emerging AI infrastructure start-up building next-generation data centres and high-performance compute environments to power AI, LLM training, and cloud-scale workloads, powered by renewable energy, rooted in sovereign capability, and designed to give enterprises and innovators the compute they need. Backed by leading investors, we are rapidly expanding our site development pipeline, engineering capabilities, and commercial partnerships.
Responsibilities
- Trading & Optimisation
- Execute short-term trading and imbalance management strategies
- Forecast forward power prices and support import and export trading decisions
- Optimise flexible assets across OTC, balancing, and ancillary services markets
- Monitor market conditions and adjust positions to manage risk and maximise value
- Analytics & AI Enablement
- Analyse market and operational data to support trading and optimisation
- Develop and maintain pricing, forecasting, and asset optimisation models
- Contribute to the use of AI as a decision-support tool for forecasting and analytics
- Reporting & Stakeholder Engagement
- Produce clear reporting on trading performance, imbalance costs, and optimisation outcomes
- Provide insight to senior leadership and the wider business
- Act as a key interface between the Energy team and operational asset teams
- Governance & Contracts
- Ensure compliance with trading governance and regulatory requirements
- Support contract review and negotiation for power and energy agreements
- Assess charging structures and tariffs to optimise commercial outcomes
- Team Contribution
- Support wider business activities including forward strategy, systems, and data
- Contribute to knowledge sharing and development within the team
Required Skills & Experience
- Experience in an energy or commodities trading environment
- Experience trading power, including import and export positions
- Strong understanding of short-term trading, imbalance management, and optimisation
- Excellent analytical skills with the ability to interpret large data sets
- Ability to communicate complex information to senior and non-technical stakeholders
- Experience with flexible assets or generation portfolios
- Programming or advanced analytics skills (Python, SQL, VBA)
- Interest in applying AI and machine learning to trading and analytics
What We Offer
- Competitive compensation package
- Hybrid/remote flexibility
- Opportunity to shape financial strategy in a frontier technology sector
- Impactful role with significant exposure to leadership
Energy Trading Specialist in London employer: Carbon3.ai - Building the UK's AI Solution Platform
Contact Detail:
Carbon3.ai - Building the UK's AI Solution Platform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Trading Specialist in London
✨Tip Number 1
Network like a pro! Reach out to people in the energy trading sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with trading strategies and analytics. We want to see how you’ve tackled real-world problems, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. We recommend focusing on your analytical skills and how you’d apply AI in trading scenarios—be ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Energy Trading Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Energy Trading Specialist role. Highlight your experience in energy or commodities trading, and don’t forget to showcase your analytical skills and any programming knowledge you have. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about energy trading and how your background aligns with our mission at StudySmarter. Be sure to mention any relevant projects or experiences that demonstrate your skills.
Showcase Your Analytical Skills: Since this role involves a lot of data analysis, make sure to highlight your ability to interpret large data sets. If you've used tools like Python or SQL, let us know! We love seeing candidates who can leverage analytics in trading decisions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Carbon3.ai - Building the UK's AI Solution Platform
✨Know Your Energy Trading Stuff
Make sure you brush up on your knowledge of energy trading, especially around short-term trading and imbalance management. Be ready to discuss your previous experiences in trading power and how you've handled import and export positions.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical prowess. Bring examples of how you've interpreted large data sets in the past, and be ready to talk about any pricing or forecasting models you've developed. If you have experience with programming languages like Python or SQL, make sure to highlight that!
✨Communicate Like a Pro
Since you'll need to engage with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey your insights clearly and effectively, especially when discussing trading performance and optimisation outcomes.
✨Get Familiar with AI in Trading
Since the company is keen on using AI for decision support, do some research on how AI and machine learning can be applied in trading and analytics. Be prepared to share your thoughts on this and any relevant experiences you might have had.
