Credit Research Intern

04 ott - Italia
Generali Italia

Questa posizione è in Generali Italia Riassunto dell'opportunità da parte della Joinrs AI : Generali Italia ricerca un Credit Analyst con laurea magistrale in Economia, Finanza o Ingegneria. Il ruolo prevede l’analisi di credito, preparazione di report e modelli finanziari, e la collaborazione con i Portfolio Manager. Si richiedono ottime competenze di programmazione in Python e VBA e capacità di lavoro in team. L’azienda offre un ambiente inclusivo, aggiornamento continuo e opportunità di crescita professionale. Il processo di selezione sarà interamente gestito da Generali Italia. The Credit Research team is an integral part of the investment’s team and is structured along sector specialization. The Analysts work very closely with the Portfolio Managers and their specialist input could have a direct impact on portfolio positioning making this a demanding and responsible role. The Credit Analyst’s core work results in: Publications : Prepare credit opinions explaining key credit risks for credits under coverage. These would include sector reports, company specific credit reports,



earnings updates. Reports should focus on those factors that affect a borrower’s ability to repay its debt and provide a credit ratings/ outlooks, including upgrade/downgrade triggers Prepare financial models : Create financial models, analysing key financial metrics to differentiate improving from deteriorating credits, including peer group analysis Communication : Proactively engage with portfolio managers to discuss positioning under coverage. Host conference call with PMs/ Head of Investments/ key clients to communicate views The candidate should be able to: work with very large databases, elaborating data with the most suitable language (Python, VBA) support the Analysts in creating new reports (in Excel, PowerBi), address data quality issues, create/improve financial models automate spreadsheets using downloads from databases (like S&P; Capital IQ) This person will work closely with each

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