Job Description
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
When you join EDF Trading you’ll become part of a diverse international team of experts who challenge conventional ideas, test new approaches and think outside the box.
Energy markets evolve rapidly so our team needs to remain agile, flexible and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil and environmental products.
EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do.
Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy.
Gender balance and inclusion are very high on the agenda at EDF Trading so you will become part of an ever-diversifying family of around 800 colleagues based in London, Paris, Singapore, Tokyo and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.
Who are we? We are EDF Trading, part of the EDF Group, a world leader in low-carbon sustainable electricity generation partnered with JERA, one of Japan’s largest utilities; the perfect organisation at which to begin or progress your career in the commodities sector.
Join us, make a difference and help shape the future of energy.
Job Description:
Your Profile
Proficient in Python coding (including use of packages such as numpy, pandas, cartopy, matplotlib, xarray, netcdf4 etc.) in and atmospheric research setting with extensive experience conducting analysis of gridded Atmospheric and Climate Model data (e.g. GRIB and/or NetCDF format).
Duties & Responsibilities
- Conducting analysis of large atmospheric datasets, extensive coding to perform complex processing and manipulation of gridded atmospheric data
- Coding models and tools to improve internal weather forecast views
- Coding new UIs and APIs for operational use by meteorologists and analysts.
- Close collaboration with analysts outside of the Meteorology Team and with IT to ensure smooth (weather) data flows from and to internal Databases
- Conducting time-sensitive ad-hoc analyses of specific weather events
- Visualisation of quantitative results and analyses
Required Skills
- Proficiency with Python (including use of packages such as numpy, pandas, cartopy, matplotlib, xarray, netcdf4 etc.) and SQL is essential
- Extensive experience working with Atmospheric and Climate model output (e.g. GRIB and NetCDF) in combination with quantitative data analytics or statistics
- Experience with weather specific command line tools such as CDO, NCO, NCL or wgrib2
- A passion for applied data analysis in the weather and climate domain
- Excellent communication skills; fluency in written and spoken English
- Strong interpersonal skills with a solid teamwork ethic
- Strong attention to detail with an ability to multitask and prioritize in a high-paced environment
- Ability to explain scientific results to non-experts
Beneficial Skills
- Exposure to VBA and especially MATLAB beneficial
- Experience with web scraping tools (e.g. Selenium, beautifulsoup, etc.), process automatization, code version control systems (e.g Git) or data visualization (e.g. Power BI) a strong advantage
- An understanding of machine learning techniques would be beneficial as would knowledge of database structures and/or cloud services (e.g. Azure).
Education
- Educated to at least Masters degree level in atmospheric science, or a technical / mathematical subject or similar