GARP Risk Podcast
Hear from Cristian deRitis, deputy chief economist at Moody’s Analytics, on the stress testing impact of heightened geopolitical risk, constantly shifting tariffs, climate risk developments, and AI/ML evolution. This podcast examines stress testing challenges and trends, with an eye on how regulation and recent events are shaping these important exercises. Regulatory stress tests play a key role in ensuring that large banks hold enough capital withstand extreme recessions, while internal stress tests at banks are used for everything from capital and liquidity planning to risk monitoring,...
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Hear from Michael Crumpler, CEO, Credit Benchmark and Jon Hilsenrath, former Wall St. Journal senior writer and founder of Serpa Pinto Advisory, as we examine early warning signs, strategic responses, and innovative risk management approaches needed in today's volatile trade environment. This podcast explores the intersection of trade policy and credit risk, offering insights for senior risk managers navigating an increasingly complex global landscape: Rising Credit Risk: How tariffs are reshaping the credit risk landscape across key global sectors and what early warning signs risk...
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Hear from Zeynep Tunc at SAS, who is leading risk management activities across Northern Europe, to learn about AgenticAI, a groundbreaking approach to decision making that interacts dynamically with its environment to achieve specific goals. Key topics: How AgenticAI differs from traditional AI through dynamic environmental interaction The technology behind the revolution: reinforcement learning, decision theory, and cognitive modeling Real-world applications in autonomous vehicles, loan approvals, portfolio management, and collections Critical ethical considerations including...
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Hear from Peter Mortensen, the chief risk officer of Russell Investments, about inflation volatility, tariffs, liquidity risk, AI threats and benefits, and ERM. Across the financial services spectrum, amid a global environment of uncertainty and political upheaval, risk management is as daunting as ever in 2025. Banks, for example, must contend with everything from cybersecurity hazards and the rise of AI to regulatory risk, global debt problems and increased supply-chain risk. Investment managers, meanwhile, face many of the same challenges but are also concerned with portfolio management,...
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Hear from Moody’s Analytics’ Cris deRitis about cybersecurity, AI, deglobalization, regulatory risk, global debt problems, geopolitical volatility, supply-chain risk, and other key issues that will impact risk managers this year. In 2024, the complex obstacles facing financial institutions and their risk managers were illuminated by headline-grabbing risk events – including the CrowdStrike IT outage, the fall of Republic First Bank, terrorist attacks on commercial shipping vessels in the Red Sea, and a plethora of climate-change-abetted natural disasters. Indeed, multi-faceted risks...
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Join Martim Rocha, Global Head of Risk Banking Solutions at SAS, and Luis Jesus, Senior Manager at SAS, as they discuss how financial institutions can transform their risk management to thrive in today's volatile market. Financial organizations today face heightened regulatory scrutiny while contending with siloed, legacy risk systems. But those that embrace AI, cloud, and integration can unlock new levels of efficiency, scalability, and proactive insights. Hear expert strategies for building a future-ready risk ecosystem - one that delivers governance, control, and competitive...
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Hear from Pedro Morales, the Director and Global Head of AML/Sanctions Compliance at Google, about AI, cyber threats, fraud, third-party risk, regulation and other complex operational resilience obstacles, trends and risks. The Federal Reserve defines operational resilience as the ability to deliver operations, including critical operations and core business lines, through a disruption from any hazard. In an interconnected world rife with volatility and uncertainty, there are certainly a plethora of hazards that can disrupt a business, and managing operational resilience is therefore a...
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Join industry experts Theodora Lau, founder of Unconventional Ventures and co-author of The Metaverse Economy and Beyond Good, and Julie Muckleroy, Global Banking Strategist at SAS as they explore the critical crossroads of AI in banking for 2025. This podcast delves into how banks are shifting from AI hype to strategic implementation, focusing on building foundational elements like data governance and trust. The conversation examines how mature approaches to AI can align investment with board priorities, select strategic use cases, and ultimately deliver meaningful return...
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Hear from Bo Xu, a Principal at Boston Consulting Group (BCG) and a member of GARP’s Risk and AI Advisory Committee, about GenAI use cases and challenges, as well as its impact on modeling, governance, regulation and risk careers. Even though generative AI is in its early days, its already having a big effect in financial risk management. As a powerful, interactive technology that can understand natural language, quickly search through reams of data and provide human-style answer to questions, GenAI is being used today for everything from data processing to risk monitoring and measurement...
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Hear from Terisa Roberts, Global Head of Risk Modeling and Decisioning at SAS and Sarah Murphy, Principal Director of Accenture Data and AI, as we explore real-time customer decision making and what it means for portfolio monitoring. Thanks to the internet and artificial intelligence, consumers today can make financial decisions through multiple channels, resulting in a new level of competitive pressure for the sector. Financial services firms must make decisions that are not only fast and reliable, but also automated. Real-time customer decisioning plays a pivotal role in achieving these...
info_outlineHear from Bo Xu, a Principal at Boston Consulting Group (BCG) and a member of GARP’s Risk and AI Advisory Committee, about GenAI use cases and challenges, as well as its impact on modeling, governance, regulation and risk careers.
Even though generative AI is in its early days, its already having a big effect in financial risk management. As a powerful, interactive technology that can understand natural language, quickly search through reams of data and provide human-style answer to questions, GenAI is being used today for everything from data processing to risk monitoring and measurement to quantitative risk modeling.
At the same time, financial institutions must decide how to properly govern GenAI, particularly as critics have expressed concerns about data leakage, intellectual property protection and third-party risk. What’s more, there are questions about the impact GenAI could have on risk jobs and about how regulators are going to respond to this innovative technology.
Relevant Links:
Risk Intelligence: Technology Section
Speaker’s Bio
Bo Xu serves as a Principal at Boston Consulting Group (BCG), where he is a core member of the global GenAI expert team. His professional journey at BCG began in 2019, following a four-year tenure at KPMG in the risk consulting practice, concentrating on CCAR/DFAST model development and validation work.
In his role at BCG, Xu leads a multi-disciplinary team focused on AI and GenAI programs. His responsibilities encompass strategy development, AI/GenAI implementation, and change management. He also has expertise in credit risk analysis, model risk management, and data governance from his earlier career.