At a Glance
- Tasks: Model renewable energy contracts and support trading teams in a dynamic environment.
- Company: Join a growing commercial energy business focused on renewables.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those looking to transition into a commercially impactful role.
- Why this job: Make a real impact in renewable energy trading and portfolio management.
- Qualifications: Strong numerical skills, commercial awareness, and experience with Python and data tools.
The predicted salary is between 35000 - 45000 € per year.
Location: Leeds (Hybrid – 2 days per week in the office)
We are partnering with a growing commercial energy business who are looking for a Renewable Energy Portfolio Analyst to join a developing trading and risk function. This is a high-impact role sitting at the intersection of renewables, trading, risk, and modelling. You’ll work closely with commercial and trading teams, helping shape how renewable energy contracts are modelled, managed, and hedged.
Why this role stands out
- Direct exposure to renewable energy trading and portfolio management
- Strong mix of commercial, technical, and analytical work
- Opportunity to build tools, improve processes, and shape a growing function
- Close collaboration with trading teams and key decision-makers
- Ideal step for someone looking to move beyond pure reporting into a commercially impactful role
What you’ll be doing
- Model renewable energy contracts in trading systems
- Build and maintain portfolio views across power, certificates, and related products
- Monitor portfolio performance, exposure, and key risk drivers
- Support hedging activity and work closely with trading teams
- Work with commercial teams to onboard new deal structures
- Produce analysis and reporting to explain portfolio performance and risk
- Contribute to the development of models, tools, and processes
What they’re looking for
- Core skills
- Strong numerical and analytical ability
- Commercial awareness and interest in energy markets
- Confident communication and stakeholder engagement
- Ability to work in a fast-paced, evolving environment
- Technical
- Python for modelling, analysis, or automation
- Experience with data tools (e.g. Pandas, NumPy)
- Exposure to modelling, forecasting, or risk environments is beneficial
If this is of interest, apply today and one of the team will be in touch to discuss further.
Renewable Energy Portfolio Analyst - Leeds employer: Gravitas Recruitment Group (Global) Ltd
Join a forward-thinking commercial energy business in Leeds, where you will play a pivotal role as a Renewable Energy Portfolio Analyst. Enjoy a hybrid work model that promotes flexibility and collaboration, while benefiting from a culture that values innovation and professional growth. With direct exposure to renewable energy trading and the opportunity to shape processes, this role offers a unique chance to make a meaningful impact in the evolving energy sector.
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Renewable Energy Portfolio Analyst - Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of renewable energy markets and trading strategies. We recommend practising common interview questions and having examples ready that showcase your analytical skills and commercial awareness.
✨Tip Number 3
Showcase your technical skills! If you’ve got experience with Python or data tools like Pandas and NumPy, make sure to highlight that in conversations. We want to see how you can apply these skills to real-world scenarios in the role.
✨Tip Number 4
Don’t forget to 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 Renewable Energy Portfolio Analyst - Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Renewable Energy Portfolio Analyst role. Highlight your numerical and analytical abilities, as well as any relevant experience in energy markets or risk environments.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about renewable energy and how your background makes you a great fit for this position. Be sure to mention your interest in commercial awareness and stakeholder engagement.
Showcase Technical Skills:Don’t forget to highlight your technical skills, especially in Python and data tools like Pandas and NumPy. We want to see how you can contribute to modelling and analysis in our trading systems.
Apply Through Our Website:For the best chance of success, make sure to apply through our website. This way, we can easily track your application and get back to you quickly. We’re excited to hear from you!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Numbers
Brush up on your numerical and analytical skills before the interview. Be prepared to discuss how you've used these skills in past roles, especially in relation to modelling and analysing renewable energy contracts.
✨Understand the Market
Familiarise yourself with current trends in the renewable energy market. Being able to discuss recent developments or challenges in energy trading will show your commercial awareness and genuine interest in the field.
✨Communicate Confidently
Practice articulating your thoughts clearly and confidently. Since this role involves close collaboration with trading teams and stakeholders, demonstrating strong communication skills will be key to your success.
✨Showcase Your Technical Skills
Be ready to talk about your experience with Python and data tools like Pandas and NumPy. If you have examples of how you've used these tools for modelling or analysis, share them to highlight your technical prowess.
