Optimisation and Trading Analysis Intern

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 & Trading Analytical Team

The Optimisation and Trading Analytics Team is part of Energy Market Analytics and is located in Paris and London. The core purpose of the team (10 people) is the development of complex market forecasting models and asset optimisation tools to support EDF Trading proprietary activity and EDF Group portfolio optimisation. The team efforts are directed towards both the Paris based activity in the short-term electricity markets as well as the longer-term horizon and other commodities traded from London. The team works in proximity with the trading desks and other analyst teams in both locations.

Position purpose
- The main objective of the internship is to improve the hydro modelling of EDFT pan-European long-term price forecasting model, which is used daily by power analysts and traders for EDFT’s proprietary trading activities.

Hydroelectric dams are an important part of the electricity generation stack as a renewable source of energy as well as a mean of storing energy, yet their management and their impact on power prices across seasons remains complex to model. The need for flexibility in the context of increased penetration of renewable energy sources have greatly increased the relevance of reviewing the performance and accuracy of our hydro modelling.

After getting familiar with power stack models, hydro reservoir optimisation and our existing platform, the intern will explore machine learning approaches to predict the value of water in reservoirs., implement the chosen method and test it on real market data.

This is a great opportunity to work on a model used by one of the largest power trading firms in Europe.

Main responsibilities- Explore and propose new methods to complement and challenge the existing approach-
- Analyse results and present them in discussions with power analysts- Ensure robust implementation in the model

Personal and professional requirements- Demonstrated skills in machine learning- Strong analytical skills- Interest in energy markets and applied research- Coding skills with an object-oriented programming language (Java/Python)- Good communication skills

Beneficial requirements:
- Knowledge of optimisation/operations research (linear programming)- Knowledge of OPL and optimisation solvers (e.g., CPLEX)

Duration:

- 6 months, starting March or April 2025
- Hours of work:

- 9am - 6pm, Monday to Friday