Optimization & Analytics Senior Advisor - Battery Storage Portfolio Management

What You Can Expect

ENGIE Global Energy Management and Sales (GEMS) is responsible for managing the portfolio of gas, electricity, congestion revenues rights and environmental products for ENGIE, across geographies. More recently, GEMS has extended his scope to also manage all the market risks (energy, congestion, Renewable Energy Certificates (RECs), ancillaries) generated by the Renewable and Battery Storage Assets owned by ENGIE North America, which includes wind farms, solar farms, and storage units. The Power Portfolio Management team is precisely the group in charge of these activities.

The Battery Storage Portfolio Management group is the commercial operations management team responsible for energy storage optimization, analytics, Battery Energy Storage System (BESS) modeling & financial management of the energy storage portfolio within the Engie Global Energy Management & Supply group. We are looking for an optimization engineer with a software development background to join our Energy Storage team.

As applications of energy storage resources continue to proliferate and evolve, our formulation of storage economics & objectives needs continual refinement to reflect this evolution. As the Senior Optimization & Analytics Advisor, you will report to Head of Battery Storage Modelling and you will formulate these new objectives, develop optimization methods, and collaborate with the team to maximize BESS revenue streams. You will also take the lead in the formulation of the priorities for the software development team dedicated to the Battery Portfolio Management group. 

You will be responsible for design, development & implementation of automated software solutions for monetizing energy storage & other market participation models by leveraging their knowledge and experience in mathematical programming, predictive analytics, power systems engineering along with the capability to software engineer the solution to leverage software platform technologies including cloud computing, distributed computing, numerical solver methods, and data storage infrastructures.

You will be interacting with asset managers, traders, facility operators, and risk managers to develop financial and operational algorithms/models that support trading & asset optimization decisions. You will work closely with GEMS IT development team to leverage your experience in data science and our expertise in electricity market fundamentals to optimize trade support products, perform performance benchmarking and stress testing of designed products, and ensure compliance of products to market rules and transactional requirements.

• Develop algorithmic product solutions for physical & virtual assets Implement production grade mathematical code with performance benchmarking and unit testing to verify and validate outcomes
• Determine key performance indicators for algorithmic products and contributes to monitoring and iterative product improvement
• Implement optimization models for short-term operation and long-term valuation of battery storage resources
• Work closely with IT development team to determine the data storage/access design best fit battery trade/operation
• Prepare functional specification document to IT development team to industrialize proof of concept programs by Battery Storage Portfolio Management group
• Provide constructive insights as product owner during the technical solution selection of the GEMS battery software platform
• Prepare code documentation, technical reports, quantitative analyses, and presentation material for internal and external use
• Implement forecasting and optimization models for operation and valuation of renewable resources and battery storage
• Support