Quantitative Optimizer VIE (H/F)

ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

3,300 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our +120,00 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 4 expertise:
• Asset management
• Energy transition services
• Energy supply & global commodities
• Risk management & market access 

At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

More info on GEM Hub or LinkedIn 

Organization & context:

Within the Short-term Power as-a-Service (SPaaS) platform of GEM,S the Power Day-ahead (PDA) desk supports a large range of internal and external customers in Central Western Europe (CWE) by providing power asset optimization services.

PDA aims at delivering spot value for power plants. To achieve its purpose, the team is accountable for:
•Carrying out daily (7/7) optimization runs for the portfolio of assets in scope (nuclear, thermal, CHP, renewable and pump storage assets) and devising a bidding strategy on the day-ahead exchanges of CWE that maximizes revenue while ensuring physical balance.
• Costing and bidding of capacity contracts for ancillary services (FCR, aFRR and mFRR) tendered daily by national Transmission System Operators (TSOs) and to be delivered from the portfolios of Engie and its clients.
• Steering the short term (intra-month) production and maintenance planning of the assets, acting as the single point of contact towards local production sites, internal and external stakeholders.

Role description:
As a Quantitative Optimizer, your role will be to contribute to a range of projects supporting the intramonth and day-ahead optimization of the asset portfolios. These projects include:
•Algorithmic bidding solutions for flexible thermal and hydro (pump storage) assets to maximize revenues on the day-ahead spot auctions.
•Tool developments supporting the bidding activity of capacities for the three ancillary services tendered daily by the TSOs of CWE (and the appropriate follow-up of these markets).
•Simplification and digitalization (automation) of the desk activities by upgrading (or replacing) the existing VBA codes with server-side Python scripts where relevant.
•P&L reporting on day-ahead bidding activities (spot and ancillary) and contributions to the platform-wide reporting on Short-term results.
Subject to the shift planning of the desk and the interest of the candidate, training on the regular operations of the desk may also be foreseen for the role.


What we offer:
•A window to short-term power markets and to the day-ahead exchanges in Central-Western Europe.
•The opportunity to optimize power plant portfolios with predominant positions across Europe, including state-of-the-art thermal and renewable assets.
•A position to liaise and cooperate with forward and intraday traders, risk officers, forecasters, power dispatchers and plant managers, middle- and back-office counterparts for a complete portfolio optimization experience.
•An intellectually challenging job in a constantly evolving environment.
•Autonomy and the chance to take on responsibilities.
•The possibility to grow professionally in one of the leading players of the European energy sector.

Profile:

•Master’s degree in engineering or any other quantitative discipline (e.g. mathematics, economics, computer science, finance)
•A structured and analytical personality with a hands-on and positive attitude.
•An understanding of energy markets and the economics behind power plants, their technologies and how they are exploited in European power markets.
•Proficiency in Python. Experience in machine-learning techniques are considered an important added value.
•Resilience to stress and interest in taking part in a rotating, on-duty shift system (7/7).
•Ability to take initiative and to operate in a demanding and fast changing environment.
•Team player with strong communication skills.
•Fluent in English (French and/or Dutch skills are considered an asset).