Short Term Market 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

The Short-Term Analytical Team is an operational team with the following structure:

• 6 market analysts and a manager supporting the Short term Power Desk during week days :
  • 3 analysts are working on Intraday horizon in Paris
  • 3 analysts are working on Day Ahead and Week Ahead horizons in London
  • The analysts on shift models the whole European electricity system in order to support the desks for the price forecast and trading strategy
    
• 7 analysts and a manager dedicated to the optimization of the EDF portfolio on Day Ahead and Week Ahead horizon.
  • These analysts are working 7/7 in Paris.
  • The analyst on shift models the available flexibility of the EDF system and translates it into EPEX orders to realise an economically efficient optimisation on the Day Ahead electricity market
    .
• The Analytics Engineering Manager and 2 software engineers

Position purpose

Price forecasting models are central in EDF Trading activities. Consequently, their continuous improvement is essential in order to ensure the well running of the business. One of the key element is to develop our ability to analysis the behaviour of our counterparties in all European countries.

The main objective of the internship is to adapt a clustering model that identify powerplants from an historical dataset to a fully unsupervised model.

The main focus will be concentrated on UK powerplants and will be expand in a second time to all European countries. This work will involve market data manipulation and the development of data science models. To succeed, it will be necessary for the trainee to understand how actors of the power market optimize their assets against the market.

In case of successful results, the powerplant identification will be implemented in the price forecasting model.

Main responsibilities

• Explore and propose methods to identify powerplants from market orders without a reference dataset
• Ensure the implementation of the models is robust and well documented before the deployment in production
• Analyse results and present them to EDFT Analysts team

Person specifications & Technical requirements

Must demonstrate strength in:

• Python
• Data management
• Quantitative and statistical modelling / data science
• Interest in energy markets
• Good communication skills

Duration: 6 months

Hours of work:

35 hours per week, Monday to Friday