Risk Analytics Data Scientist

Location Paris About ENGIE and Supply & Energy Management ENGIE, a global leader in low‑carbon energy and services, relies on its Global Business Unit Supply & Energy Management (GBU S&EM) to provide reliable, sustainable, and affordable energy to all its customers. This strategic unit optimizes the Group’s and clients’ production assets and designs tailored energy solutions for our 200,000 professional clients and 15 million consumers. Context You will be part of the Risk Analytics team (8 people) responsible for Market & Counterparty Risk monitoring and advisory of the S&EM (International Supply and Energy Management) Global Business Unit of ENGIE and its regulated entity EGM (Engie Global Markets). We work closely with stakeholders across trading, risk, and IT to ensure our systems are efficient, scalable, and aligned with business needs. Our expertise spans the development, enhancement, and validation of risk models, systems, and processes. Your Mission We are looking for a motivated and technically skilled individual to join our Risk Analytics team. This role is ideal for someone early in their career who is passionate about Python, data, and building robust systems that make a real impact. As part of our team, you will play a central role in improving and automating our risk analysis and control frameworks. You’ll work closely with local risk teams across geographies, helping them streamline processes, enhance reliability, and gain deeper insights through better tooling and data flows. Develop and maintain Python‑based tools to automate risk controls and analytics. Improve the robustness and scalability of our risk framework. Collaborate with risk analysts and IT teams to identify pain points and deliver smart, efficient solutions. Act as a key support and enabler for local risk teams, helping them become more data‑driven and efficient. Contribute to the evolution of our risk systems architecture with a focus on maintainability and performance. What We Are Looking For Strong proficiency in Python (experience with pandas, numpy, or similar libraries is a plus). Solid understanding of data structures (AWS), automation, and system design. Interest in commodity markets, risk management, or quantitative finance. A collaborative mindset and willingness to support others. Curiosity, initiative, and a drive to improve existing systems. Fluent in English (French is a plus, but not required). Why join us? If you meet these requirements, then you are the talent we are looking for. Don’t wait – apply now with your CV. At ENGIE S&EM, we are committed to fostering a gender‑neutral and inclusive environment where everyone’s potential can thrive. 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. About ENGIE ENGIE is a global leader in low‑carbon energy and services, committed to accelerating the transition towards a carbon‑neutral world. Our purpose (“raison d’être”) is clear: act to reduce energy consumption and develop cleaner, more sustainable solutions that balance economic performance with a positive impact on people and the planet. We rely on our core businesses – gas, power, renewable energy, and services – to deliver competitive, tailored solutions to our customers worldwide. With 96,000 employees and a strong network of partners and stakeholders, ENGIE is more than a company: we are a community of Imaginative Builders, working every day to create harmonious, sustainable progress. Business Unit: Supply & Energy Management Division: EM RISK CONTROL Legal Entity: ENGIE Global Markets S.A.S. Professional Experience: Skilled ( >3 experience