ESG Quant Analyst Intern

il y a 7 heures


Paris, France Candriam Temps plein

ESG Quant Analyst Intern - ESG Data & Analysis F/M Investment Management - ESG Investments & Research Contrat: Internship, 6 months internship Candriam is a global multi-specialist asset manager and a recognized pioneer and leader in sustainable investment. For more than 25 years, Candriam has offered innovative and diversified investment solutions across many asset classes including fixed income, equities, absolute return, asset allocation and illiquid assets. As a Responsible Employer, Equal Employment Opportunity is crucial to Candriam. We are committed to building the best global team that represents a variety of backgrounds, perspectives, and skills. We provide an inclusive work environment and support wellbeing and work-life balance. Mission Within the ESG Investment & Research team, we are looking for an intern to join us from January 2026 as an ESG Quant Analyst Junior Intern, contributing to projects that combine ESG expertise, quantitative analysis, and data‑driven insights to support sustainable investment strategies. His/Her tasks will be as follows: Act as point of contact within the ESG team regarding ESG Data Analyze ESG data providers (new data, comparison, review of current providers with analysts) Regularly update ESG data or perform analysis (e.g., carbon data for green bonds, oppressive regimes, state‑owned enterprises) Enhance the dedicated Data Management System used to support data provider choices and ESG analysis process evolution for business projects Assist in analyzing ESG data needs and feasibility in case of mandates/RFPs Participate in internal and external working groups linked to ESG data/universe Support ESG Universe and ESG model updates Profil Preparing a Master's degree in Data Science, Computer Science, Quantitative‑Finance, Engineering, or a related field Analytical and synthetical mindset, proactive Strong knowledge of programming languages: Python / SQL; familiarity with machine learning libraries Knowledge or experience with AI, particularly LLMs and text classification Solid understanding of data science fundamentals: statistics, machine learning, data mining Knowledge of Azure Synapse and PowerBI is a plus Understanding of financial markets and strong interest in ESG topics (climate change, ESG regulation) Fluent in French and English (written and spoken) Location: Europe, France - Paris Education Level: 3. Master’s Degree I / Bac+4 Référence 2025-382 #J-18808-Ljbffr


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