Short-Term Analysis Intern

M2 EDF Trading Markets Limited (Paris branch); Paris; Sur place; EUR 20 000 - 40 000; Plein temps

Résumé du poste

A leading energy trading firm is seeking an intern in Paris for a 6-month position focused on price forecasting and quantitative modeling in the electricity market. The role involves designing dashboards to assess discrepancies between forecasted and actual market orders, utilizing Python to enhance forecasting methodologies, and ensuring accurate communication of findings to stakeholders. A strong interest in energy markets and quantitative skills are essential for success in this collaborative environment.

Qualifications

• Effective at quantitative and statistical modeling of forecasted data.
• Skilled in using Python for analysis and model building.
• Strong communication skills for collaborating with different teams.

Responsabilités

• Design and propose a dashboard for assessing market order discrepancies.
• Implement methodologies to reduce discrepancies in forecasts.
• Document implementation processes for models used in production.
• Analyze outcomes and communicate insights to team members.

Connaissances

Interest in energy markets

Quantitative and statistical modelling

Optimisation modelling

Python

Good communication skills

Strong collaborator

Description du poste

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 model 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.

These epex orders are also forecasted up to 21 days in advance for the Week-Ahead hedging purposes.

The Analytics Engineering Manager and 2 software engineers.

Position purpose

Price forecasting models are central in EDF Trading activities, especially for optimisation and bidding construction purposes. One of the key elements is to forecast up to 21 days in advance the market orders of the EDF plants portfolio the most accurately possible.

The main agenda of the internship is to be able to refine these forecasts either with statistical method (statistical inference, machine learning model…) or with optimisation tools used in elaborate fashion with relevant tweaks.

The first focus is the assessment of the gap between forecasted market orders and actuals. Clear and accurate visualization of these variances is essential for all key stakeholders, including analysts, traders, and optimization teams.

The second focus is refining identified discrepancies, followed by the implementation of corrective actions within the production environment.

The outcome will be evaluated by backtesting the new methodology with real market and optimisation data.

Main responsibilities

• Design and propose a dashboard to assess the gap between forecasted and actual market orders.
• Propose and implement methodologies aimed at reducing or mitigating this gap.
• Ensure robust, well-documented implementation of models prior to deployment in the production environment.
• Analyse outcomes and communicate findings to the team, Traders, and Optimizers.

Person specifications & Technical requirements

Must demonstrate strength in :

• Interest in energy markets
• Quantitative and statistical modelling
• Optimisation modelling
• Python
• Good communication skills
• Strong collaborator

Duration : 6 months

Hours of work : 35 hours per week, Monday to Friday