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.
Ses six plateformes de gestion internationales [2], 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 5 300 professionnels dans 35 pays. Filiale du groupe Crédit Agricole, Amundi est cotée en Bourse et gère aujourd'hui plus de 2 000 milliards d'euros d'encours [3].
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 2022 sur la base des encours sous gestion au 31/12/2021
[2] Boston, Dublin, Londres, Milan, Paris et Tokyo
[3] Données Amundi y compris Lyxor au 31/03/2022
En agissant chaque jour dans l'intérêt de la société, nous sommes un groupe engagé en faveur des diversités et de l'inclusion. Tous nos postes sont ouverts aux personnes en situation de handicap.
Référence
2023-83154
Date de parution
17/01/2024
Description du poste
Type de métier
Types de métiers Crédit Agricole S.A. - Gestion d'Actifs
Intitulé du poste
VIE Milan - Multi-Asset Solutions / Junior Quantitative Analyst H/F
Type de contrat
VIE
Durée (en mois)
24
Date prévue de prise de fonction
01/01/2024
Missions
In Amundi Multi-Asset Solutions, we have set up an OCIO Solutions team of around 30 experts in different topics (from governance and strategy to portfolio management and TAA, for regulatory constraints to portfolio implementation and monitoring).
The Quant Solutions team is part of the OCIO Advisory team. The team, of 3 people, works in close collaboration with Amundi Investment Institute, Multi-Asset Portfolio Managers and the other colleagues in the Advisory team.
The team is responsible for quantitative solutions in asset and liability management, strategic asset allocation, tactical asset allocation and risk overlay projects for institutional clients. In cooperation with the Amundi Investment Institute, the team is in charge for expected returns and asset class simulations. We continuously focus on enhancing our quantitative methodology, leveraging on evolving industry best practices and applied experience.
The Quant Solutions team is located in Milan and Munich, but the OCIO Advisory team is based in Milan, Paris and Munich.
We are looking for a candidate in Milan to support team in the data analysis and modelling activities.
The candidate will be requested in particular :
- To run quant analysis on new advisory solutions for institutional investors coordinated by the team (starting from input and search, analysis to final output).
- To prepare supporting documentation for explaining and presenting the results of the analysis.
The candidate can be responsible for pioneering research and analysis covering new or less covered fields.
Localisation du poste
Zone géographique
Europe, Italie
Ville
Milan
Critères candidat
Niveau d'études minimum
Bac + 5 / M2 et plus
Formation / Spécialisation
- Primary Degree in Economics / Mathematics
- Post-graduate degree in Quantitative Finance / Financial Engineering
- Other Postgraduate Qualifications (like a PhD) are a plus
Niveau d'expérience minimum
0 - 2 ans
Expérience
Having worked within investment division in a quantitative role for an asset manager or investment bank.
Compétences recherchées
- Excellent analytical skills, knowledge of numerical & quantitative research techniques
- Highly skilled in interpreting data significance and cause/effect relations
- Deep knowledge of financial markets
- Genuine curiosity and interest in quant analysis
- Excellent communication skills in both written and verbal English
- Flexibility and pragmatism
- Attention to details
- Good team player
Outils informatiques
- Proficient in Microsoft Office especially Excel
- Good Knowledge of VBA, MATLAB and Python are required
- Good Knowledge other analytical software (R, EViews, etc…) is an advantage
- C++ and SQL knowledge a plus
Langues
Fluent in English and Italian (or second) language knowledge is considered a plus
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