Insight Search

Sort by:
  • Podcast

    August 17, 2023
    Tonya Hummers, Managing Director at Protiviti, speaks with Sarah Olthoff, Senior Vice President and Chief Business Risk Officer at Discover Financial Services.Watch the podcast as Tonya and Sarah discuss resiliency and adaptability as key traits for succeeding in the face of challenges, the evolving nature of work environments and shifts towards hybrid models to support flexible schedules in the…
  • Whitepaper

    December 11, 2022
    Governments around the globe have engaged increasingly in offensive economic-sanction tactics in response to geopolitical conflicts, social injustice and violations of basic human rights. For fear of not being able to exit positions, leery market participants and investors have been swift to react. The economic ramifications of sanctions extend beyond the borders of the sovereign nations upon…
  • Newsletter

    October 22, 2021
    From geopolitical, regulatory and policy risks to disruptive technology and cyberattacks to fraud, workplace violence and lawsuits, today’s private equity firms must have embedded capabilities to address threats that vary in scope and severity and are emerging at ever-increasing speed. They must be adept at addressing risks far beyond unpredictable business cycles and volatile markets.
  • Infographic

    June 3, 2024
    Quantum Dawn VII is the latest iteration of SIFMA's biannual cybersecurity exercise focused on the outage of a critical third-party service provider (CTP). The simulation and concluding survey found many financial institutions are already experienced with the loss of CTPs, with protocols established for managing the outage. With such outages increasingly commonplace and regulators holding firms…
  • Podcast

    September 15, 2023
    In this episode, hosted by Protiviti Associate Director Alyse Mauro Mason, we focus on financial inclusion, defining financial inclusion and its impact, what it means for your business, and how to manage the risk of more inclusive credit and lending practices.Alyse’s guests are Tracie Anderson of TransUnion and Shelley Metz-Galloway of Protiviti.Tracie is Principal, Economic Inclusion Strategy, U…
  • Podcast Transcript

    September 15, 2023
    In this episode, hosted by Protiviti Associate Director Alyse Mauro Mason, we focus on financial inclusion, defining financial inclusion and its impact, what it means for your business, and how to manage the risk of more inclusive credit and lending practices.Alyse’s guests are Tracie Anderson of TransUnion and Shelley Metz-Galloway of Protiviti.Tracie is Principal, Economic Inclusion Strategy, U…
  • Client Story

    November 18, 2022
    Ein preisgekröntes Versicherungsvertriebs- und Risikomanagementunternehmen mit mehr als 1,2 Millionen Kunden stand bei der Vorbereitung auf den Börsengang (IPO) vor zahlreichen Herausforderungen. Das Unternehmen verzeichnete ein massives Wachstum
  • Newsletter

    February 12, 2021
    Concern about the impact of government policies and regulations in response to COVID-19 is the No. 1 risk identified by directors and business executives across many industries. This insight is from our most recent top risk survey. Another survey we conducted last year, focused on technology risks, shows a deepening concern over cybersecurity and privacy issues, as well as regulatory 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…
Loading...