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.
• A third team of 2 optimisation analysts, 1 software engineer, and the engineering manager, giving direction on the technology choices, ensuring sustainability of the tools and computing KPIs on the activity.

Position Purpose

STAT team is responsible for building the market orders that represent the flexibility of EDF’s generation fleet, submitted on the day-ahead market and for supporting trading desks for price forecast and trading strategy. STAT Platform supports the activity by providing the back testing platform, KPIs, and analytical features that drive changes in the order-building methodology.

Daily optimisation performance depends on various factors:  forecast uncertainty, market conditions, and the flexibility available on the portfolio. Currently, we measure the opportunity loss and would like to quantify the contribution of each explanatory factor.

The goal of this internship is to enhance the diagnosis of the optimisation performance of the activity. You will work in a trading and optimisation environment and develop a solid understanding of power markets, portfolio flexibility, the order-building process, and the existing KPI platform.
You will build quantitative features describing market context and portfolio state, use them to label days, and integrate them into our KPI platform. You will model their impact on optimisation performance. This will drive the analysis and understanding of the opportunity loss and help set the priorities for the evolution of the methodology.

We work with a modern stack combining Python, Rust, and Vue.js/TypeScript, and use GitHub Copilot as an AI coding agent in our daily development.

Main Responsibilities

• Build a daily dataset combining market circumstances (price forecast error, uncertainty...) and portfolio state (marginality, availability…)
• Characterise days based on those measurable indicators
• Analyse past days to identify the drivers of optimisation performance depending on the circumstances, at portfolio and asset level
• Use this data to improve the KPIs (minimal and optimal performance benchmarks)
• Integrate the day tagging and context-level KPIs into the existing KPI platform
• Present the outcomes to the team

Technical Requirements & Person Specification

• Python
• Interest in energy markets and power assets
• Quantitative and statistical modelling / general data science, or optimisation background
• Analytical thinking and good communication skills

Profile: Master’s student (final year) in energy, data science, applied mathematics, or equivalent

Duration:

6 months

Hours of Work:

35 hours per week, Monday to Friday