Energy Market Forecasting Meteorologist for Traders

Energy Market Forecasting Meteorologist for Traders

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Job Search Place Limited

At a Glance

  • Tasks: Deliver accurate weather forecasts and analyze model data for wind, solar, temperature, and precipitation.
  • Company: Marlin Selection Ltd focuses on providing insights to clients in the energy market.
  • Benefits: Work with cutting-edge weather models and contribute to critical trading decisions.
  • Other info: Solid understanding of atmospheric processes is essential.
  • Why this job: Join a dynamic team impacting energy trading across Europe with your meteorological expertise.
  • Qualifications: Minimum 3 years of experience in a commercial meteorological role and strong Python programming skills required.

The predicted salary is between 40000 - 50000 Β£ per year.

Marlin Selection Ltd is seeking an experienced operational meteorologist to deliver accurate forecasts to clients in the energy market. The successful candidate will analyze weather model data regarding wind, solar, temperature, and precipitation across Europe, providing critical insights for trading.

To qualify, you should have at least 3 years of experience in a commercial role and strong programming skills in Python, along with a solid understanding of atmospheric processes.

Energy Market Forecasting Meteorologist for Traders employer: Job Search Place Limited

Marlin Selection Ltd is located in the heart of the energy sector, offering competitive salaries and opportunities for professional growth. The team is dedicated to delivering precise forecasts that drive trading strategies in the European energy market.

Job Search Place Limited

Contact Details:

Job Search Place Limited Recruitment Team

We think you need these skills to ace Energy Market Forecasting Meteorologist for Traders

Operational Meteorology
Weather Model Data Analysis
Forecasting Skills
Energy Market Knowledge
Python Programming
Atmospheric Processes Understanding
Data Interpretation