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

Optimisation and Trading Analytical Team 

The Energy Market Analytics department houses the Optimisation and Trading Analytical Team, a dynamic group of 10 professionals based in both Paris and London.

Our team’s primary mission is to develop sophisticated market forecasting models and asset optimisation tools. These tools are instrumental in supporting EDF Trading’s proprietary activities and optimising the EDF Group portfolio.

The team efforts are directed towards both the short-term electricity markets as well as the longer-term horizon and other commodities. We work closely with the trading desks and other analyst teams in both locations, fostering a collaborative environment that drives our success.

Position purpose

The Senior Quantitative Developer will contribute to the analytics suite of EDFT for short-term power market analysis and price forecasting through work on our platform for analytics and underlying data and model infrastructure.

We’re looking for a strongly motivated individual with excellent technical skills and an interest in energy analytics and trading.

Main responsibilities

• Improve the team’s existing analytical platform by proposing and implementing solutions to enhance performance and applications stability (e.g., optimisation of memory usage, usage of cloud technologies, increase parallelisation, data modelling and migration), or creating dashboards and decision-making tools
• Collaborate with analysts to support the platform and participate in the design and deployment in production of new analytical features and models
• Work with traders to understand the project requirements and translate them into technical solutions to be implemented in the platform
• Work with the EDFT IT team to develop a scalable technology platform over the long term

Experience and technical requirements

5+ years’ experience in a similar role (software engineer or quantitative developer) with exposure to analytics.

Essential skills

• Very strong object-oriented programming skills (demonstrated in Python or other)
• Experience with CI/CD pipelines, proficiency with Git
• SQL, NoSQL databases
• Knowledge of cloud computing

Beneficial skills:

• Python, API frameworks (Flask, FastAPI), package managers (poetry, uv)
• Knowledge of more than one programming language
• Exposure to energy markets or trading environment
• Knowledge of front-end development (e.g., Streamlit/ Angular 10/ Node.js)
• Columnar databases
• Experience with cloud computing such as Azure suite
• Docker, Kubernetes

Person specification

• Educated to degree level with a high computer science component
• Hands-on approach, flexible and positive attitude
• Attention to detail and strong focus on accuracy of information
• Prioritization and time management
• Interest in energy analytics and trading
• Good communication skills

Hours of work:

8.30am – 5.30pm / 40 hours per week, Monday to Friday

Occasional on-call support on weekends, estimated interval of two months.