Internship - Wealth & Strategic Risk
Pubblicato il 01-09-2026 - Generali Italia in Milano
Questa posizione è in Generali Italia
Riassunto dell'opportunità da parte della Joinrs AI: Banca Generali cerca un intern per il desk Wealth & Strategic Risk nell’ambito della Direzione Risk Management. Il candidato lavorerà su analisi del rischio basate sui dati, utilizzando strumenti avanzati e modelli quantitativi. Viene richiesta una laurea in Economia, Finanza, Matematica o Ingegneria. L’opportunità offre formazione, affiancamento e crescita professionale in un contesto inclusivo e creativo.
Il processo di selezione sarà interamente gestito da Generali Italia.
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Banca Generali, private bank leader in Italy in financial planning and in the protection of clients through a network of private consultants at the top of the sector in terms of skills and expertise/professionalism, is looking for an intern for Wealth & Strategic Risk desk inside the Risk Management Direction.
Wealth & Strategic Risk desk is responsible for all the risks associated with the Bank's Assets Under Management and with the strategic and reputational risks arising from the business model.
The intern will have the opportunity to work on data-driven risk analysis projects, gaining exposure to advanced analytics tools, large datasets and the integration of quantitative models into the Risk Management processes.
The position will mainly be involved in:
- the estimation, monitoring and management of strategic and reputational risks associated with the business model, monitoring the Asset Under Management portfolio and the financial instruments and products distributed and managed by the Bank (mainly Managed Portfolios, OICR, Unit Linked and insurance policies, certificates and structured bonds, with focus on illiquid, alternative and complex products)
- the development and application of advanced analytics techniques to support risk identification, monitoring and reporting, with focus on strategic and reputational risk, including data analysis, and the implementation of predictive and desc