ESG Quant Analyst Intern - Model Focus F/M

Métier

Investment Management - ESG Investments & Research

Intitulé du poste

ESG Quant Analyst Intern - Model Focus F/M

Contrat

Internship

Durée du contrat

6 months internship from March 2026

Présentation de Candriam Group

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 from March 2026 to contribute to innovative projects combining ESG expertise and data science.

Responsabilité

• Contribute to the development of the new Candriam’s proprietary ESG Sovereign scoring model, from research to production.
• Generalization of a text classification AI tool to score business activities integrated within Candriam’s proprietary ESG Corporate model.
• Testing of ESG analysis use cases with external Gen AI solutions.
• Automation of production pipeline in Azure Synapse.
• Support other team projects.

Profil

• Currently pursuing a Master’s degree in Data Science, Applied Mathematics, Finance, or a related quantitative field.
• Interest in financial markets, macroeconomic concepts, and a strong motivation to work on ESG (Environmental, Social & Governance) topics.
• Programming: Strong working knowledge of Python (pandas, NumPy, scikit learn, etc.).
• Data Science Foundations: Good grasp of statistics, data preprocessing, feature engineering, and data mining.
• Machine Learning & AI: Solid understanding of ML fundamentals (classification, regression, model evaluation); experience with NLP techniques, in particular text classification and/or Large Language Models (LLMs).
• Cloud & BI Tools (nice to have): Prior exposure to Azure Synapse, Azure Foundry, or similar cloud ecosystems; knowledge of Power BI is a plus.
• Strong analytical and synthesis skills, with the ability to structure complex information.
• Proactive mindset, autonomy, curiosity, and willingness to explore new methodologies.
• Attention to detail combined with the ability to work efficiently in a collaborative environment.
• Fluent in French and English, both written and spoken.

Critères candidat

Level of education required: Master’s Degree I / Bac+4

Level of experience required: Inférieur à 2 ans

Langues

• Français (C1 - Courant)
• Anglais (C1 - Courant)