Optimisation and Trading analysis intern (Short Term Power)

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:

Department 

Optimisation and Trading Analytical Team  

The team is part of a wider Quantitative Modelling and Analytics team and is a dynamic group of 10 professionals based in both Paris and London. Our team’s primary mission is to develop sophisticated market forecasting models and asset optimisation tools. These tools are instrumental in supporting EDF Trading’s proprietary activities and optimising the EDF Group portfolio. The team efforts are directed towards both the short-term electricity markets as well as the longer-term horizon and other commodities. We work closely with the trading desks and other analyst teams in both locations, fostering a collaborative environment that drives our success. 

Position purpose 

The European electricity grids are highly interconnected and cross-border exchanges are an important driver of price formation in the coupled markets. The main objective of the internship is to contribute to the improvement of forecasting power network constraints in the short term (2 to 14 days anticipation) within EDFT’s forecasting model. 

First, the internship will focus on understanding, reviewing an existing model and exploring new modelling approaches. It will involve looking at both time series prediction techniques and methods suited to a particular classification problem. 

The second part of the internship will focus on implementing, testing and validating the proposed approaches in EDFT forecasting framework with a focus on some specific borders. Once results 

are validated and implemented, the intern will present the work to power trading desks and contribute 

to the deployment of the solution in production. 

This is a great opportunity to work on a high impact topic for one of the largest power trading firms in Europe. 

Main responsibilities 

• Explore and propose new methods to improve forecasting network constraints. 

• Ensure robust implementation of the proposed approach 

• Analyse results and present them to EDFT power desks 

Person specifications and professional requirements  

• Demonstrated skills in statistics and machine learning 

• Strong analytical skills 

• Interest in energy markets  

• Coding skills in Python  

• Good communication skills 

Duration:  

6 months, starting April or May 2025  

Hours of work:  

35 hours/week, Monday to Friday