Rafael Lapetina Ribeiro Gomes
Developing a microservice solution for automated investment monitoring in Wealth Management.
Rel. Alessandro Fiori. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2025
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
The thesis focuses on the development of a backend software application built during an internship at Alpian Technologies, to work as a back-office solution for a specialized team at Fideuram Asset Management. The main aim of the application is to automate and optimize the periodic monitoring of discretionary mandates, which denotes an investing strategy whereby a client delegates to a bank the management of their portfolio. This monitoring ensures that investment strategies applied to the customers at the bank remain aligned with the agreed-upon risk profiles. The important contributions of the project include the automation of a critical monitoring procedure once done manually and subject to inefficiencies and a greater potential for errors.
By bringing in cutting-edge technologies like Spring Boot for REST services, gRPC for efficient service communication, Kotlin for reliable backend development, and Docker for containerized deployments, the project improved the accuracy and efficiency of investment compliance processes
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
