Anti Financial Crime

4 settimane fa

Milano, Lombardia, Italia Intesa Sanpaolo Group A tempo pieno

Intesa Sanpaolo è il gruppo bancario leader in Italia. Servendo 14,6 milioni di clienti attraverso una rete nazionale di circa 5360 filiali, contribuisce allo sviluppo delle imprese e alla crescita del paese.

E' alla ricerca di profili qualificati che vogliono confrontarsi con percorsi di crescita professionali impegnativi e stimolanti.

Introduzione

Stiamo cercando ragazze e ragazzi che hanno appena conseguito la laurea e che siano interessati a collaborare all'interno della Direzione Anti Financial Crime del Gruppo Intesa Sanpaolo nello sviluppare algoritmi e strumenti per l'identificazione e la segnalazione di operazioni finanziarie sospette. Capacità di problem solving, curiosità e apprendimento continuo, precisione e riservatezza sono le caratteristiche che stiamo cercando nei nostri prossimi colleghi che lavoreranno con noi sui rischi di money laundering e finanziamento del terrorismo in continua evoluzione, su scala globale, tra tecnologia e finanza.

Quali saranno le tue attività

Sarai impegnato con ruoli ad autonomia progressivamente crescente sui seguenti ambiti:


• Studio di rischi e minacce emergenti in ambito Financial Crime


• Analisi delle "digital footprint" e sviluppo di algoritmi di profiling e monitoraggio


• Attività di calibrazione, testing e go-pro degli algoritmi


• Performance tracking, knokwledge management e miglioramento continuo di strategie e strumenti.

I nostri valori

La partecipazione è nel DNA di Intesa Sanpaolo, per questo la nostra mission è un patrimonio comune: condividere gli ideali e gli intenti che ci guidano nel nostro lavoro, ogni giorno nei confronti dei nostri interlocutori.

Valutiamo il nostro successo in base a quanto riusciamo a investire per creare un sistema economico in cui ognuno sia in grado di esprimere il proprio potenziale.

Requisiti necessari per candidarsi


• Laurea in Ingegneria Gestionale / Informatica / Data Science / Matematica o discipline affini;


• Familiarità con tecniche statistiche / quantitative / ricerca operativa / metodi di supporto alle decisioni / creazione algoritmi;


• Conoscenza dei fondamenti di Database e approcci Big Data


• Conoscenza di linguaggi e strumenti per elaborazioni dati (SQL, SAS, Python, ecc...)


• Conoscenza della lingua inglese

La selezione

Il processo di selezione per questa posizione si articola in due fasi: svolgerai una video intervista digitale e, se avrà esito positivo, ti inviteremo a sostenere un colloquio con i colleghi della struttura interessata. In ogni caso, riceverai un feedback in merito alla tua candidatura.


Ogni persona è per noi una risorsa e quella persona potresti essere tu Consulta le opportunità di lavoro del Gruppo, candidati ed entra nel nostro team

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