Junior Quantitative Analyst M/F

Descrizione del lavoro:

Descrizione dell'incarico

Funzione aziendale

Tipo di Funzione Crédit Agricole S.A. - Asset Management

Job Title

Junior Quantitative Analyst M/F

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

Area geografica

Europa, Italia

Sede di lavoro

Milan

Criteri candidato

Livello minimo richiesto d'istruzione

Laurea magistrale/specialistica (5 anni)

Formazione richiesta

Primary Degree in Economics / Mathematics
Post-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 required
Knowledge other analytical software (R, EViews, Matlab) or C++ language is considered a plus

Lingue

fluent english