Financial Performance Modeling Analyst (m/w/x)

The energy market is undergoing profound transformation, and Belgium has been a pioneer in market liberalisation and in developing solutions that support customers in their low-carbon strategies. It is a highly mature and competitive market, characterised by: Complex and diverse energy supply offers A large number of market players and intense competition Rapid technological and digital developments Multiple and evolving regulatory frameworks Sustained pressure on profitability In Belgium, TotalEnergies has a strong presence through several business segments and a number of assets supporting its Integrated Power strategy. Belgium is therefore a key market for TotalEnergies. TotalEnergies Power&Gas Belgium (TEPGB)’s B2C and B2B activities are at the forefront of the Company’s ambitions in electricity and its low-carbon strategy. TEPGB also serves as an innovation hub for European projects, particularly in emerging solutions such as self-consumption, demand-side management, dynamic pricing, solar panels and electric mobility. Your responsibilities As a Financial Performance Modeling Analyst within TEPGB’s Energy Management team, you will assess the profitability of our sourcing strategy, produce long-term financial analyses and strengthen the quantitative models used to manage procurement risks. Financial performance and closing: contribute to the monthly financial closing by providing a detailed view of gas and electricity sourcing costs; calculate, analyse, validate and publish the Procurement P&L and Trading P&L, including the indirect-margin KPI. Risk monitoring: publish and monitor risk indicators for gas, electricity, green certificates and guarantees of origin; anticipate and explain the impact of market and regulatory developments on procurement costs. Quantitative modelling: improve models used to assess procurement risks, further develop the revenue-modelling tool used to calculate gross margin based on customer pricing formulas, and drive the Energy Management department’s development of quantitative expertise by promoting robust modelling practices, knowledge sharing and the effective use of analytical tools. Processes and data: design, optimise and maintain operational processes and data flows to improve the Energy Management team’s efficiency, reliability and agility. Python development and technology: develop, maintain and continuously improve the Energy Management programming framework in Python, and contribute to the optimisation of supporting IT processes. Expertise: build strong quantitative knowledge of energy markets and support Portfolio Managers with clear, decision-ready analysis. What success looks like Accurate and timely monthly P&L reporting Reliable monitoring of sourcing risks and performance Continuous improvement of quantitative models, data quality and operational tools Clear communication of insights and recommendations to management Education and experience Master’s degree in engineering, computer science, economics, business management or a related field One to three years of relevant professional experience Initial experience in financial reporting or energy management is an asset Understanding and interest in energy markets and complex market dynamics is an asset Technical skills Strong quantitative-modelling and programming skills Advanced proficiency in Python is essential, including strong knowledge of object-oriented programming and the ability to develop and maintain robust quantitative models. Solid SQL skills and proficiency in Excel and Power BI Familiarity with Git and platforms such as GitHub Knowledge of Docker and Shell is an asset Proficiency with Microsoft Office Personal competencies Strong analytical mindset and keen interest in numbers, financial analysis and reporting Ability to synthesise complex information Results-oriented, well organised and able to manage priorities and deadlines in a demanding environment Agile and comfortable managing several topics in parallel Strong communication and collaboration skills Fluent in French, with professional proficiency in English