Short-Term Analyst Intern

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.

Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.

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 750 colleagues based in London, Paris, Singapore, 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.

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

- 8 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
- These epex orders are also forecasted up to 21 days in advance for the Week-Ahead hedging purposes.
- The internship will be attached to this team.
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- The Analytics Engineering Manager and 3 software engineers

Position Purpose

The core objective of the optimization team is to design market orders that accurately represent the flexibility of EDF’s generation fleet on the SDAC market. Two main types of market orders are available: linear orders and block orders. Since 1 October 2025, these products can be submitted with different time granularities: 15, 30 or 60 minutes.

The internship will focus on improving how the flexibility of the generation fleet is represented across these different time granularities, using a combination of market data, optimisation outputs and publicly available data.

The first stage of the internship will consist of understanding the existing market-order generation and back-testing framework. The intern will analyse the current methodology, assess its performance using available analytical data, and identify its main limitations and potential areas for improvement.
Building on this analysis, the second stage will involve designing and testing new methodologies and parameterisations. The intern will investigate how the optimal representation of flexibility may vary depending on the time granularity, available information and market conditions.

The different approaches will be evaluated through quantitative back-testing against historical market and optimisation data, with the objective of identifying methodologies that improve the representation of the fleet’s flexibility and the quality of the resulting market orders.
The new methodology will be used daily by the end of the internship.

Main Responsibilities

- Understand and enhance the existing market-order back-testing framework.
- Design and implement methodologies to optimise market-order time granularity.
- Ensure robust, well-documented implementation of models prior to deployment in the production environment.
- Analyse outcomes and communicate findings to EDFT Analysts, Traders, and Optimizers.

Technical Requirements & Person Specification

Must demonstrate strength in:

- Interest in energy markets
- Quantitative and statistical modelling
- Optimisation modelling
- Python
- Good communication skills

Duration:

6 months

Hours of Work:

35 hours per week, Monday to Friday