Informations générales
Entité
Premier gérant d'actifs européen parmi les 10 premiers acteurs mondiaux (1), Amundi propose à ses 100 millions de clients - particuliers, institutionnels et entreprises - une gamme complète de solutions d'épargne et d'investissement en gestion active et passive, en actifs traditionnels ou réels. Cette offre est enrichie de services et d'outils technologiques qui permettent de couvrir toute la chaîne de valeur de l'épargne. Filiale du groupe Crédit Agricole, Amundi est cotée en Bourse et gère aujourd'hui près de 2 300 milliards d'euros d'encours (2). Ses six plateformes de gestion internationales (3), sa capacité de recherche financière et extra-financière, ainsi que son engagement de longue date dans l'investissement responsable en font un acteur de référence dans le paysage de la gestion d'actifs.
Les clients d'Amundi bénéficient de l'expertise et des conseils de 5 500 professionnels dans 35 pays.
Amundi, un partenaire de confiance qui agit chaque jour dans l'intérêt de ses clients et de la société.
(1) Source : IPE « Top 500 Asset Managers » publié en juin 2025 sur la base des encours sous gestion au 31/12/2024
(2) Données Amundi au 30/06/2025
(3) Paris, Londres, Dublin, Milan, Tokyo et San Antonio (via notre partenariat stratégique avec Victory Capital)
Référence
2025-105953
Date de parution
13/11/2025
Description du poste
Type de métier
Types de métiers Crédit Agricole S.A. - Gestion d'Actifs
Intitulé du poste
Stage - Quantitative Researcher / Data Scientist H/F
Type de contrat
Stage
Durée (en mois)
6
Date prévue de prise de fonction
02/04/2026
Poste avec management
Non
Cadre / Non Cadre
Non cadre
Missions
Service :
Amundi is Europe’s largest asset manager and a global leader in investment management. Within Amundi Institute, the Quantitative Research team plays a pivotal role in driving innovation and delivering advanced solutions to support investment strategies across all asset classes.
Our team is composed of quantitative researchers, each bringing diverse expertise from backgrounds such as quantitative analysis, data science, and financial engineering. We specialize in developing cutting edge models, tools and methodologies. We focus on leveraging data, technology, and quantitative techniques to address complex challenges, optimize portfolio management, and explore new opportunities in financial markets.
Missions :
The internship focuses on the development of innovative cryptocurrency trading strategies by analyzing market data and leveraging quantitative methods. This will be an opportunity to work on a cutting-edge research topic in the rapidly evolving world of digital assets and contribute to the creation of robust trading models.
We expect the following from this internship:
· Conduct a literature review of existing models and methodologies for cryptocurrency valuation and trading strategies, as well as current trends in the crypto market.
· Use NLP to create alternative data on cryptocurrencies.
· Explore methods to price assets that lack traditional fundamentals by incorporating alternative data, such as sentiment analysis and blockchain metrics.
· Build and backtest trading strategies for cryptocurrencies.
· Document the various stages of the project, including the methodologies used and the results obtained, in a high-quality academic paper.
· Provide innovative contributions to the field by presenting new insights and potential directions for future research.
Contribution of the internship :
This internship offers a unique opportunity for the intern to gain hands-on experience in the dynamic and rapidly evolving field of cryptocurrency and quantitative finance. The intern will enhance their skills in designing and backtesting trading strategies, leveraging alternative data such as sentiment analysis, and exploring innovative methods to price assets that lack traditional fundamentals. Additionally, they will gain valuable experience in documenting their work in an academic-quality paper, contributing novel insights to the field. This internship will allow the intern to refine their technical and analytical abilities, collaborate with experienced quantitative researchers, and gain exposure to advanced tools and methodologies, all of which will be invaluable for their future career in finance or technology.
The company shall pay the intern a gratuity if the duration of the internship exceeds two consecutive months.
Localisation du poste
Zone géographique
Europe, France, Ile-de-France, 75 - Paris
Ville
Paris 15e
Critères candidat
Niveau d'études minimum
Bac + 5 / M2 et plus
Formation / Spécialisation
Education: university, business school, engineering
Specialisation : Computer Science, Mathematics, Modeling, Data Analysis
Niveau d'expérience minimum
0 - 2 ans
Compétences recherchées
Strong interest in cryptocurrencies, English proficiency, programming proficiency, analytical mindset, scientific rigor, curiosity and learning agility
Outils informatiques
Python, SQL, Version control systems (Git), Cloud Platforms (AWS, Azure or Google Cloud), Blockchain Tools (blockchain explorers, APIs…), Linux/Unix
Langues
English