CANDRIAM – ESG Quant Analyst Intern
Job Description
Informations générales
Référence
2026-396
Description du poste
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
His/Her tasks will be as follows:
- 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.
#LI-POST
Localisation du poste
Localisation du poste
Europe, France
Paris
Critères candidat
Niveau d’études min. requis
3. Master’s Degree I / Bac+4
Niveau d’expérience min. requis
Inférieur à 2 ans
Langues
- Français (C1 – Courant)
- Anglais (C1 – Courant)
8 total views, 1 today
