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  • Newsletter

    June 11, 2018
    Molto è stato scritto su come il FinTech stia modificando il settore dei sistemi di pagamento e, più in generale, quello dei servizi finanziari. Il processo di cambiamento radicale che sta interessando questi - così come molti altri - settori parte dal mercato, dai nuovi bisogni e comportamenti dei consumatori, dall’innovazione tecnologica e comporta l’evoluzione dei modelli di business…
  • Whitepaper

    April 4, 2023
    Chief financial officers (CFOs) in the technology sector met to discuss leading industry practices, trends and other topics of mutual interest in a virtual roundtable conducted under the Chatham House Rule. The agenda for this virtual exchange, hosted by Protiviti Managing Directors Gordon Tucker, Christopher Wright and Fran Maxwell, was created through a series of pre-interviews. Comments from…
  • Flash Report

    June 8, 2023
    On Tuesday, June 6, 2023, the Office of the Comptroller of the Currency (OCC), the Board of Governors of the Federal Reserve System, and the Federal Deposit Insurance Corporation (collectively, the agencies) issued the “Interagency Guidance on Third-Party Relationships: Risk Management.”[1] This marks the long-awaited finalisation of the proposed guidance that was initially issued on July 19,…
  • Flash Report

    May 21, 2019
    Il 25 febbraio 2019, a seguito del processo di consultazione avviato il 22 giugno 2018 e conclusosi nel settembre 2018, l’EBA ha pubblicato la versione definitiva delle “Guidelines on outsourcing arrangements” in materia di esternalizzazione di funzioni e attività aziendali, applicabile a tutte le istituzioni finanziarie. Tra le principali finalità sottese all’emanazione delle Linee Guida si…
  • Podcast

    August 29, 2023
    In June, nearly two years after issuing their proposal for third-party risk management (TPRM), the U.S. banking regulators – the Office of the Comptroller of the Currency, the Board of Governors of the Federal Reserve System and the Federal Deposit Insurance Corporation – finalised their guidance.In this podcast, Brian Kostek from Protiviti interviews Kathryn Hardman from Veritex Bank and Helen…
  • Podcast Transcript

    August 29, 2023
    In June, nearly two years after issuing their proposal for third-party risk management (TPRM), the U.S. banking regulators – the Office of the Comptroller of the Currency, the Board of Governors of the Federal Reserve System and the Federal Deposit Insurance Corporation – finalised their guidance.In this podcast, Brian Kostek from Protiviti interviews Kathryn Hardman from Veritex Bank and Helen…
  • Podcast

    July 24, 2024
    The migration to post-quantum cryptography (PQC) is about to begin and is necessary to protect against the threats of fault-tolerant quantum computing. However, critical assets like those in military, banking, and government environments also require other layers of security and strategies such as zero trust and increased encryption bit sizes. Join host Konstantinos Karagiannis as he discusses a…
  • Podcast

    November 30, 2022
    Denis Camilo, Risk and Compliance Director at Protiviti, talks with Lauren Munfa, Head of Americas Investment Bank C&ORC at UBS, about how much her parent management training translated to running a large compliance programme.Lauren Munfa is the Americas Head of Compliance & Operational Risk Control (C&ORC) for the Investment Bank Division of UBS, as well as the Chief Compliance…
  • Client Story

    November 24, 2021
    In the fiercely competitive credit card industry, banks struggle to grow their brands by differentiating their cards from all the others. Many try to do this through low rates, giveaways and various partnerships. However, the most visionary among banks understand that customer experience (CX) is at the center of success and is the engine to grow their brand.A large global bank — a Protiviti…
  • Blogs

    April 29, 2022
    The Potential of Machine Learning (ML) to deliver value to banks has created something of a gold rush in adopting this methodology for banking applications. ML can produce immense benefits when applied to complex nonlinear problems where there is a large amount of data, particularly unstructured data. Use cases for incorporating machine learning in banking include asset management, fraud…
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