Algorithmic Trader (Renewables & Flexibility)
Context
We are looking for an experienced Algorithmic Trader to lead the development and execution of automated trading strategies within our short‑term power markets division. This role is central to our transition toward a fully automated, data‑driven trading floor, focusing on the optimisation of Battery Energy Storage Systems (BESS) and Renewable Energy Sources (RES). The successful candidate will own the journey from raw market signal to live algorithms, covering research and back‑testing, framework development, deployment of production‑grade code, and real‑time performance tracking.
Your Mission
* We are developing the framework and the trading strategies to optimise a large portfolio (several GW) of Battery Storage Systems, Wind and Solar assets, proprietary trading strategies across the Day‑Ahead, Intraday, and Ancillary Services markets.
* You will manage the entire development pipeline of each trading strategy: research trading signals in collaboration with analysts and quants, code the business logic, decide on the execution protocol, design appropriate monitoring tools and prioritise future refinements. You will ensure that strategies are robust, scalable, and operate with minimal latency.
* You will enhance, extend, and maintain our large‑scale trading framework, ensuring it remains robust, scalable, and aligned with the evolving needs of our automated trading activities. You will think systemically about the architecture, contribute to key design decisions, and drive continuous improvements that support long‑term reliability and performance.
* Energy systems are big beasts – you will be collaborating with several internal and external teams: analysts, quants, IT teams and many more. Additionally, you will partner with the Short‑Term manual trading desk to develop mixed algo‑manual trading strategies and monitoring tools.
What we are looking for
* 5+ years of working experience. Exposure to commodity trading is a plus.
* A Master’s/PhD in a quantitative discipline such as Mathematics, Physics, Operations Research, Electrical Engineering, etc.
* Advanced knowledge of Python and software development practices, including version control (Git) and database architecture (SQL). You value robust, testable, and maintainable code and experience with designing and maintaining large codebases over time.
* Strong experience in data analytics and applied Machine Learning, including relevant Python libraries.
* Understanding of European power markets is considered a significant advantage.
Professional Attributes
* Hunger: relentless desire to identify opportunities and inefficiencies, and convert them into systematic, automated trading value.
* Intellectual Curiosity: obsessed with understanding complex, unpredictable power markets and distilling signal from noise.
* Problem solving: break down complex problems, identify solutions and prioritise heavily between them.
* Collaborative Mindset: thrive in cross‑functional teams, listen and establish durable work relations.
Team culture
* We are a recently formed, highly motivated team with a strong sense of ownership and shared mission.
* We value independent thinking, intellectual honesty, and proactivity; we encourage people to challenge ideas, take responsibility, and act rather than wait.
* This is a demanding and rewarding journey, and you will have the opportunity to make it as intense and impactful as you want it to be.
Diversity & Inclusion
All our positions are open to people with disabilities. If you need any reasonable accommodations during the recruitment process, please inform your recruiter – we will be happy to support you.
We are committed to fostering a gender‑neutral and inclusive environment where everyone's potential can thrive.
ENGIE is an equal‑opportunity employer committed to diversity and inclusion and offers reasonable accommodations to applicants with disabilities.
Business Unit: Supply & Energy Management
Legal Entity: ENGIE GLOBAL MARKETS, BELGIAN BRANCH
Professional Experience: Skilled ( >3 experience <15 years)
Education Level: Master's Degree
Company Name: ENGIE Belgium
Why this matters to us
Our organisation is an equal‑opportunity employer and is committed to fostering a diverse and inclusive workplace. We offer reasonable accommodations upon request for individuals with disabilities.
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