Tipo di Funzione Crédit Agricole S.A. - Asset Management Contratto Stage/Tirocinio Durata del contratto 6 mesi rinnovabile di altri 6 mesi Data prevista per l'ingresso 02/02/2026 Posizione da Responsabile No Mission del ruolo We are looking for an intern to support the team in data analysis, modelling activities and producing presentations directed to clients or internal stakeholders. The ideal candidate should fit in a team which continuously focus on enhancing quantitative techniques, leveraging on the evolving industry best practices and applied experience. In particular, the candidate will be requested:
to run quantitative analysis for institutional investors projects coordinated by the team (starting from input gathering, research, analysis to final output). to prepare supporting documentation for explaining and presenting the results of the analysis.
The candidate can be involved in pioneering research and analysis covering new and emerging fields. Sede di lavoro Milan Criteri candidato Livello minimo richiesto d'istruzione Laurea magistrale/specialistica (5 anni) Formazione richiesta Primary Degree in Economics / MathematicsPost-graduate degree in Quantitative Finance / Financial Engineering Livello minimo richiesto di esperienza 0-2 anni Tipo di esperienza The candidate will be part of the Quant Solutions team within the Solutions division. The team, comprising of 3 professionals, is part of the Retirement Solutions division and works closely with Research (Amundi Investment Institute), Portfolio Managers and other colleagues in the Solutions division. The team is responsible for modelling expected returns and providing asset class simulations and is in charge of the quantitative analyses for institutional clients projects, in areas such as Strategic Asset Allocation and Asset Liability Management (ALM). The team is also actively involved in producing research for retirement themes. The Quant Solutions team is international, with presence in Milan and Munich, but the candidate will be located in Milan. Caratteristiche personali Excellent analytical skills, knowledge of Numerical & Quantitative Research techniques Interpreting data significance and cause/effect relations Knowledge of financial markets and stochastic processes (a plus) Genuine curiosity and interest on quantitative analysis Excellent communication and presentation skills in both written and verbal English Flexibility and pragmatism Attention to details and precision Good team player Competenze tecniche In depth knowledge of Office Good Python knowledge required VBA Knowledge requiredKnowledge other analytical software (R, EViews, Matlab) or C++ language is considered a plus Lingue fluent english Europa, Italia #J-18808-Ljbffr