3 meilleures offres (finance data analyst, paris, a8) (à pourvoir)

ESG Quant Analyst- Data & Model Focus - Alternance F/M
Candriam —Paris (75)
- Temps plein
- Azure
- Anglais
- Master
il y a 11 jours
STAGE - Data Analyst Finance (H/F)
Alliance Healthcare —Gennevilliers (92)
- Temps plein
- Ingénierie
- Commerce
Consultant Senior ou Manager Data Analyst & BI - secteur Financier, F/H
EY —La Défense (92)

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ESG Quant Analyst- Data & Model Focus - Alternance F/M

Candriam -
Paris (75)

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Détails de l'emploi

Temps plein
Il y a 11 jours

Qualifications

Français
Power BI
Azure
Anglais
Master
Niveau Licence
Machine learning
NLP
Technologies de l'information
Intelligence artificielle
Python
Data science

Description complète du poste

Description du poste Métier Investment Management - ESG Investments & Research

Intitulé du poste ESG Quant Analyst- Data & Model Focus - Alternance F/M

Contrat Contract of apprenticeship

Durée du contrat 12 to 24 months

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 alternant to join from September 2026 to contribute to projects combining ESG expertise, data science and IT skills.

Responsabilité
His/Her tasks will be as follows:

Contribute to the production and enhancement of the ESG universe which regroups all the ESG models results and eligibilities of companies covered by Candriam
Back-up on the production and coordination within the ESG team
Enhancements on the ESG Universe and models
Participating in the decommission of the current ESG database and help on the implementation of the new internal ESG database/Tool
Build a tool to compare ESG raw data from providers and ESG data retrieved by Artificial Intelligence
Simulations and implementation of clients' ESG policy
ESG providers: review of current ESG providers on specific topic (carbon...) and perform analysis on ESG data depending on client's and ESG analysts requests
Enhancement of PowerBI internal tools

Profil Academic Background :

Currently pursuing a Master's degree in Data Science, Applied Mathematics, Finance, or a related quantitative field.

Technical Skills :

Programming: Strong working knowledge of Python
Knowledge of Power BI

- Machine Learning & AI: Understanding of ML fundamentals; experience with NLP techniques, in particular text classification and/or Large Language Models (LLMs). - Experience of using AI tool for coding

Prior exposure to Azure Synapse, Azure Foundry, or similar cloud ecosystems is a plus.

Domain Knowledge :

Interest in financial markets and a strong motivation to work on ESG (Environmental, Social & Governance) topics.

Soft Skills :

Strong analytical and synthesis skills
Attention to details combined with the ability to work efficiently in a collaborative environment
Proactive mindset, autonomy and curiosity

Languages :

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 2. Bachelor's Degree / Licence (BAC+3)

Niveau d'expérience min. requis Inférieur à 2 ans

Langues

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

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finance data analyst emplois - paris, a8

ESG Quant Analyst- Data & Model Focus - Alternance F/M

STAGE - Data Analyst Finance (H/F)

Consultant Senior ou Manager Data Analyst & BI - secteur Financier, F/H

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : finance data analyst (paris, a8)

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