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  • 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.
  • 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…
  • Whitepaper

    April 24, 2024
    Faced with the growing complexity of the geopolitical landscape, governments have been using financial sanctions increasingly as foreign policy tools to respond to developments as wide ranging as regional conflicts and wars, terrorism, and human slavery. In today’s highly charged geopolitical environment, sanctions compliance is a focus not only for financial institutions and regulatory…
  • Client Story

    November 18, 2022
    An award-winning, entrepreneurial insurance distribution and risk management firm serving more than 1.2 million clients was facing multiple challenges as it prepared to launch an initial public offering (IPO). The company was experiencing massive growth through the acquisition of as many as 20 companies per year. Its leadership was innovating the industry with a vision to expand internationally,…
  • 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…
  • Podcast

    September 27, 2023
    Some of the key things that I see will be around digitalisation, open banking, artificial intelligence and robotics, workforce transformation, cyber security, and as mentioned, sustainable banking as well as regulatory technology. We're also already seeing an increase in regulatory complexity, and banks will need to invest significantly more, in my opinion, around regtech solutions. These…
  • Podcast Transcript

    September 27, 2023
    In brief"Some of the key things that I see will be around digitalisation, open banking, artificial intelligence and robotics, workforce transformation, cyber security, and as mentioned, sustainable banking as well as regulatory technology.""We're also already seeing an increase in regulatory complexity, and banks will need to invest significantly more, in my opinion, around regtech solutions.…
  • 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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