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- Tasks: Deliver accurate weather forecasts and analyse data for energy traders.
- Company: Join EDF Trading, a leader in energy market solutions.
- Benefits: Enjoy hybrid working, competitive benefits, and a supportive team.
- Other info: Dynamic role with opportunities for growth in the energy sector.
- Why this job: Make a real impact on energy trading with your meteorological expertise.
- Qualifications: 3+ years in meteorology, strong forecasting skills, and Python coding experience.
The predicted salary is between 40000 - 50000 £ per year.
EDF Trading is seeking a Meteorologist to support front office operations with robust meteorological data for energy markets. This role involves delivering high accuracy forecasts, analyzing weather model data for wind and solar production, and communicating findings to traders.
Candidates should have at least 3 years' experience in an operational role, possess strong forecasting skills, and have coding skills in Python. The position offers hybrid working and various employee benefits.
Energy Market Meteorologist — Forecasts for Traders employer: EDF Trading
Contact Detail:
EDF Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Market Meteorologist — Forecasts for Traders
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector, especially those working in meteorology. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers or during interviews, highlight your forecasting expertise and coding skills in Python. Bring examples of your work to the table to really impress them.
✨Tip Number 3
Stay updated on industry trends! Keep an eye on the latest developments in energy markets and meteorological technology. This knowledge will not only help you in interviews but also show that you're genuinely interested in the field.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate and find roles that match your skills.
We think you need these skills to ace Energy Market Meteorologist — Forecasts for Traders
Some tips for your application 🫡
Show Off Your Forecasting Skills: Make sure to highlight your forecasting experience in your application. We want to see how you've used your skills in previous roles, especially if you've worked with energy markets before!
Get Technical with Python: Since coding in Python is a must-have for this role, don’t forget to mention any relevant projects or experiences. We love seeing how you’ve applied your coding skills to real-world problems!
Communicate Clearly: As you'll be communicating findings to traders, it’s important to demonstrate your ability to convey complex information simply. Use clear and concise language in your application to show us you can do this!
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’s super easy!
How to prepare for a job interview at EDF Trading
✨Know Your Weather Models
Make sure you brush up on the latest weather models and how they impact energy production. Be ready to discuss specific models you've worked with and how you've used them to create accurate forecasts in your previous roles.
✨Show Off Your Coding Skills
Since coding in Python is a key requirement, prepare to demonstrate your coding abilities. Bring examples of scripts or tools you've developed that relate to meteorological data analysis, and be ready to explain your thought process.
✨Communicate Clearly
As you'll be communicating findings to traders, practice explaining complex meteorological concepts in simple terms. Think about how you can convey your insights effectively, as clear communication is crucial in this role.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to analyse hypothetical weather data and make forecasts. Practise thinking on your feet and articulating your reasoning, as this will showcase your forecasting skills and operational experience.