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Quantitative Analyst Intern F/M

CANDRIAM -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Stage

Qualifications

Français
Gestion d'actifs
Microsoft Excel
Anglais
Master
Machine learning
VBA
Master 1
Python

Description complète du poste

Métier

Investment Management - Multi-Asset

Intitulé du poste

Quantitative Analyst Intern F/M

Contrat

Internship

Durée du contrat

6 months

Présentation de Candriam Group

Candriam stands for "Conviction AND Responsibility In Asset Management" and is a European multi-specialist asset manager. A pioneer and leader in sustainable investments since 1996, Candriam manages around EUR 160 billion of assets under management with a team of 600 professionals. It operates management offices in Luxembourg, Brussels, Paris, and London, and has client representatives in more than 20 countries throughout continental Europe, the United Kingdom, the United States and the Middle East.

Candriam offers investment solutions in several key areas: bonds, equities, absolute performance strategies, and asset allocation, with a broad and innovative range of ESG strategies covering all its asset classes.

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

Candriam wishes to strengthen its Multi‑Asset Quantitative Research team by recruiting a Quantitative Analyst under a work‑study or internship contract starting May 2026.

The mission of the team is to improve Candriam’s capacity for trade idea generation and quantitative investment research across multiple asset classes.

Responsabilité

Within the Multi‑Asset quantitative research team, the Quantitative Analyst will:

Implement machine learning techniques to estimate the expected performance of different asset classes (equities, commodities, etc.)
Conduct robust feature selection analyses to identify the most relevant investment factors
Backtest and analyse quantitative investment strategies
Contribute to the integration of new developments into existing research and backtesting platforms
Participate in research projects aimed at developing and improving systematic investment approaches

Profil

Preparing a Master's degree (Master 1 or Master 2) in financial mathematics, quantitative finance, data science or a related field
Strong interest in quantitative modelling and asset management
Solid skills in statistics and data analysis
Confirmed Python programming experience
First exposure to or strong interest in machine learning techniques
Knowledge of Excel and VBA is a plus
Good command of French and English, both oral and written
Rigorous, analytical and detail‑oriented
Proactive, curious, and able to work both independently and as part of a team

#LI-POST

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)

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