Short Term Power Market Analyst F​/H

Department

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

• 6 market analysts and a manager supporting the French Desk on weekdays: 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 analyse the whole European electricity system in order to support the desks for price forecasting and the trading strategy
• 7 analysts, a deputy 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

The role is based in London. In order for EDF Trading to maximise the return from the month-ahead to day-ahead wholesale power markets, either from EDF generation assets or through proprietary trading, the traders require detailed, commercially focussed analysis produced on a timely basis.

In the front office, working closely with both the short-term analysts in charge of EDF portfolio optimisation in Paris and the power traders in London, the Short-Term Power Market Analyst has a dual role covering both operational and development duties.

• Market Analysis:
  Provide data analytics and risk analysis on short term power market to the desk
• Support the Short-Term desk for the price forecasts and trading strategies
• EDF system risk analysis:
  Follow the Day-Ahead and Week-Ahead optimisation shifts
• Communicate time critical information to the traders
• Ensure compliance with regulatory requirements, including REMIT, through the consistent application of defined processes

The short-term power market analyst is responsible of the whole life cycle of an application or a model: from the research/design to the development/implementation and the maintenance. The analyst is autonomous on his/her projects and is responsible of critical applications.

• Fundamental and quantitative (statistical, data science driven) models to better anticipate market behaviour and improve price forecasting models. All components of the market could be addressed like load forecast, competitors’ orders, availabilities, etc…
• Automation of workflows
• Data visualisation via web applications