Intern - Market Risk Analyst

Identifiant de la demande: 41984 - Lieu de travail: COURBEVOIE, FR, 92400 **About us (GEMS)**: 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. 3,600 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 190,000 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 expertises: - 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. **About the team**: You will be part of the Risk Analytics team (8 people) responsible for Market & Counterparty Risk monitoring and advisory of the GEMS (Global Energy Management & Sales) Business Unit of ENGIE and its regulated entity EGM (Engie Global Markets). Our team thrives in a dynamic, technology-driven environment, where your contributions will directly impact our commitment to excellence and innovation within the Risk Expertise center of GEMS. We are committed to producing and reporting key risk metrics, providing timely insights to relevant stakeholders across the organization. As stewards of risk governance, we design and maintain robust frameworks for market risk measurement, limit setting, and control, ensuring alignment with regulatory requirements and internal policies. Collaborating closely with trading desks, operating in a global environment in the fast-changing Commodity World, we foster collaboration and knowledge sharing across regions and business lines. This enhances risk awareness and decision-making with our priority objective being to uphold the integrity of GEMS & EGM risk management framework. Our expertise in market risk management extends to the development, enhancement and validation of risk models, systems, and processes. We drive continuous improvement and innovation, partnering closely with Quant Risk & Front Office as well as IT teams. Digital is at the heart of the team DNA, leveraging on cutting edge technologies and analytical tools, we integrate digital solutions seamlessly into our operations to foster agility, increase our ability to extract actionable insights from vast volume of data. **Rôle**: We are looking for a motivated intern to join our Market Risk team to work on market data validation as well as the development of interactive web reporting tools using Dash technology. This internship will provide hands-on experience in data analysis, anomaly detection, and web-based visualization. **Market Data Validation** Market data validation is the process of ensuring the accuracy, consistency, and reliability of financial and commodity market data used for risk management, pricing, and decision-making. This involves detecting anomalies, missing values, outliers, and inconsistencies in time series data, which can arise due to technical issues, data provider errors, or market disruptions. For a risk management function, validated market data is essential because inaccurate or inconsistent data can lead to incorrect risk metrics, mispricing of assets, and flawed financial decisions. Effective market data validation helps prevent erroneous risk assessments, ensures regulatory compliance, and enhances the robustness of risk models. **Responsibilities**: - develop algorithms and use various techniques from traditional statistical methods to machine learning or signal processing techniques - design a systematic scoring mechanism to evaluate the quality of curve marking on a daily basis. This approach provides a transparent and data-driven method for prioritizing curve reviews, flagging potential inaccuracies, and ensuring that risk metrics are based on high-quality market data - Improve risk dashboards that support decision-making and enhance transparency, based on Dash. This dashboard will provide management with a visually compelling and highly interactive interface to monitor the evolution of risk metrics Hard Skills - **Strong progr