At a Glance
- Tasks: Lead a team of analysts, design forecasting models, and analyse market dynamics.
- Company: Join a dynamic firm focused on energy markets and innovative trading strategies.
- Benefits: Enjoy a full-time role with opportunities for professional growth and collaboration.
- Other info: Ideal for those passionate about energy markets and eager to innovate.
- Why this job: Be part of a cutting-edge team shaping the future of power trading.
- Qualifications: Strong background in power stack modeling and proficiency in Python required.
The predicted salary is between 48000 - 84000 Β£ per year.
We are looking for an experienced Senior Power Trading Analyst to join our team. The ideal candidate will have a strong background in power stack modeling, a proven ability to design forecasting models, and experience leading teams. This role involves working closely with quantitative developers to implement models in Python and ensuring their accuracy and effectiveness. You will also collaborate across analytics teams, including gas, carbon, and weather, to provide unified market insights and actionable trading strategies.
What will be your responsibility:
- Collaborate and steer team of power analysts, ensuring high-quality analysis and professional growth
- Design and develop forecasting models to support market analysis and trading strategies
- Work closely with the quant development team to implement models in Python, ensuring they perform as intended
- Conduct power stack modeling to analyze market dynamics and identify trading opportunities
- Collaborate with gas, carbon, and weather analytics teams to align insights and provide a comprehensive market view
- Monitor market drivers such as supply-demand fundamentals, weather patterns, and regulatory changes
- Continuously improve tools and processes to enhance the accuracy and impact of market analysis
What do we expect of you:
- Strong experience in power stack modeling and market analysis
- Proficiency in designing forecasting models and implementing them in Python
- Ability to lead a team and foster collaboration across multiple analytics disciplines
- Knowledge of power markets and their interaction with gas, carbon, and weather markets
- Strong analytical and problem-solving skills with attention to detail
- Excellent communication skills to present insights clearly to stakeholders
This role is ideal for someone with a passion for energy markets, strong technical skills, and a desire to lead and innovate in a dynamic trading environment.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Finance and Sales
Industries
International Trade and Development
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SENIOR POWER TRADING ANALYST employer: EP Commodities
Contact Detail:
EP Commodities Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land SENIOR POWER TRADING ANALYST
β¨Tip Number 1
Network with professionals in the energy sector, especially those involved in power trading. Attend industry conferences or webinars to meet potential colleagues and learn about the latest trends in power stack modeling and forecasting.
β¨Tip Number 2
Familiarise yourself with the specific tools and technologies used in power trading analysis, particularly Python for model implementation. Consider taking online courses or certifications that focus on these skills to demonstrate your commitment and expertise.
β¨Tip Number 3
Prepare to discuss your previous experiences leading teams and collaborating across different analytics disciplines. Think of specific examples where you successfully drove projects or improved processes, as this will showcase your leadership abilities.
β¨Tip Number 4
Stay updated on current market trends and regulatory changes affecting power markets. Being knowledgeable about these topics will not only help you in interviews but also demonstrate your genuine interest in the role and the industry.
We think you need these skills to ace SENIOR POWER TRADING ANALYST
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in power stack modeling and forecasting models. Use specific examples that demonstrate your ability to lead teams and collaborate across analytics disciplines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for energy markets and your technical skills. Mention how your background aligns with the responsibilities of the Senior Power Trading Analyst role and how you can contribute to the team.
Showcase Technical Skills: Emphasise your proficiency in Python and any relevant tools or methodologies you've used in market analysis. Providing examples of past projects where you've implemented forecasting models will strengthen your application.
Highlight Collaboration Experience: Since this role involves working closely with various analytics teams, include examples of how you've successfully collaborated with others in previous roles. This could be through leading projects or contributing to cross-functional teams.
How to prepare for a job interview at EP Commodities
β¨Showcase Your Technical Skills
Be prepared to discuss your experience with power stack modeling and forecasting models in detail. Highlight specific projects where you successfully implemented these models, especially using Python, as this will demonstrate your technical proficiency.
β¨Demonstrate Leadership Experience
Since the role involves leading a team of analysts, share examples of how you've successfully managed teams in the past. Discuss your approach to fostering collaboration and professional growth within your team.
β¨Understand Market Dynamics
Familiarise yourself with current trends in power markets, as well as their interactions with gas, carbon, and weather markets. Be ready to discuss how these factors influence trading strategies and market analysis.
β¨Prepare for Scenario-Based Questions
Expect questions that assess your analytical and problem-solving skills. Prepare to walk through your thought process when faced with market challenges or when developing new trading strategies, showcasing your attention to detail and strategic thinking.