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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 salary, and great employee perks.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Make a real impact in the energy sector 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector, especially those working in meteorology. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your forecasting projects, especially those involving Python coding. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Practice your pitch! Be ready to explain how your meteorological insights can directly benefit traders. Tailor your conversation to highlight how your forecasts can impact energy market decisions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes put you ahead of the crowd. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Energy Market Meteorologist — Forecasts for Traders in London
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 real-world scenarios, especially in energy markets. Don't hold back on sharing specific examples!
Get Technical with Python: Since coding in Python is a must-have for this role, we recommend showcasing any relevant projects or experiences where you've used Python for meteorological data analysis. This will help us see your technical prowess!
Communicate Clearly: As you'll be communicating findings to traders, it's crucial to demonstrate your ability to convey complex information simply. Use clear and concise language in your application to show us you can do just that.
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 don’t miss out on any important updates about the process. We can't wait to hear from you!
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.
✨Show Off Your Coding Skills
Since coding in Python is a must for this role, prepare to demonstrate your coding abilities. Bring examples of scripts or projects you've completed that relate to meteorological data analysis.
✨Communicate Clearly
As you'll be communicating findings to traders, practice explaining complex meteorological concepts in simple terms. Think about how you can make your insights actionable for someone without a technical background.
✨Highlight Your Experience
With at least 3 years' experience required, be ready to share specific examples from your past roles. Focus on situations where your forecasts made a significant impact on trading decisions or operational efficiency.