GARP Risk Podcast
Welcome to the Risk Intelligence Podcast, where the Global Association of Risk Professionals, also known as GARP, brings together the world’s foremost Risk Practitioners, from around the globe, for in depth insights and discussions on today’s most important risk issues in finance and energy. Here is your chance to listen in.
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Stress Testing: Current Issues, Regulatory Analysis, and a Sneak Peek at the Future
07/10/2025
Stress Testing: Current Issues, Regulatory Analysis, and a Sneak Peek at the Future
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, risk identification and operational resilience. Today, though, there are questions about whether regulatory stress tests – particularly the Federal Reserve’s CCAR exercise – are transparent enough. Internal tests, moreover, are being heavily influenced by heightened geopolitical risk and U.S. policy changes, such as fluctuating tariffs. To more effectively manage all the different scenarios they must consider, financial institutions are also making greater use of next-generation technology, like artificial intelligence and machine learning, in their stress-testing methodologies. What’s more, they must consider changing regulatory winds on climate risk. Relevant Links: (Risk Intelligence column by Cristian deRitis) Speaker’s Bio Cristian deRitis is Managing Director and Deputy Chief Economist at Moody's Analytics. As the head of econometric model research and development, he specializes in the analysis of current and future economic conditions, scenario design, consumer credit markets and housing. In addition to his published research, Cristian is a co-host on the popular . He can be reached at .
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Tariffs, Trade Wars, and the Credit Risk Reckoning
05/12/2025
Tariffs, Trade Wars, and the Credit Risk Reckoning
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 officers should be tracking. Capital Allocation Strategies: How CROs and portfolio managers should reframe risk appetites given significant credit deterioration in vulnerable sectors. Data-Driven Decision Making: The role of alternative data and credit consensus insights in scenario planning and stress testing for portfolios exposed to supply chain shocks and regulatory retaliation. Central Bank Response: Potential actions the Fed and ECB may take given impacts of tariffs on inflation, Treasury yields, and economic uncertainty. Links from today’s discussion: Speaker Bios Michael Crumpler, CEO, Credit Benchmark Michael was appointed CEO of Credit Benchmark in June 2023 after serving in several key executive roles including most recently as Chief Operating Officer and Head of Risk. He is also a member of the Executive Committee. Prior to joining Credit Benchmark in 2016, Michael worked at Goldman Sachs in the Credit Risk Management & Advisory group covering a diverse portfolio of entities across the natural resources and public finance sectors. Before Goldman, Michael spent over 10 years in other credit risk and banking roles at Barclays, Dexia and Moody’s Investors Service focused primarily on energy, infrastructure and U.S. public finance. Michael holds a Master of International Affairs from Columbia University’s School of International and Public Affairs and a Bachelor of English Literature from the University of North Carolina at Chapel Hill. Jon Hilsenrath, Former Wall St. Journal Senior Writer and Editor Author and 26-year veteran of The Wall Street Journal. Former chief economics correspondent, economics editor, markets editor and senior writer, based in New York, Hong Kong & Washington D.C. Pulitzer Prize finalist in 2014 for coverage of the Federal Reserve; part of WSJ team that was Pulitzer finalist in 2009 for coverage of financial crisis; contributed on-the-scene reporting to the WSJ’s Sept. 11 coverage which won 2002 Pulitzer. Author of “Yellen,” a biography of the Treasury Secretary and former Federal Reserve Chairwoman, book described by The Economist magazine as "elegant and erudite." Wilson Center Fellow, 2021. Cum laude graduate of Duke University, Knight-Bagehot Fellow at Columbia University with MBA and M.A. Hong Kong University of Science and Technology alum. Partner of Duke economics department as Visiting Fellow. Moderator Katherine Wolicki, Global Head of Engagement and Outreach, GARP Benchmarking Initiative (GBI) Katherine is the Global Head of Engagement and Outreach for GARP Benchmarking Initiative (GBI). GBI plays a key role in supporting evidence-based policymaking through the provision of industry benchmarking studies. Prior to this she was with HSBC for 12 years where she led the Global Financial and Model Risk Regulatory Policy and Engagement team for Risk. The team was responsible for the external regulatory interface for the Traded Risk, Treasury Risk Management and Global Risk Analytics function. This included the provision of guidance on regulatory risk matters, regulatory policy interpretation and industry engagement. Prior to this she was based in Brussels as a Public Affairs consultant specialising in financial services regulation. Katie has an MA in International Economic Relations from American University and a Maîtrise in European and International Law from the University of La Reunion. She is a fluent French speaker and an avid hiker and mountaineer. About Credit Benchmark Credit Benchmark is a leading provider of credit risk data and analytics. The company aggregates and anonymizes contributed risk data from over 40 global financial institutions, producing unique obligor-level Credit Consensus Ratings and other key credit metrics. Covering over 110,000 legal entities, 90% of which are not publicly rated—Credit Benchmark’s insights are trusted by major financial institutions worldwide to enhance their internal credit risk analysis and gain accurate risk perspectives.
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AgenticAI: The Next Frontier in Intelligent Decision-Making
05/01/2025
AgenticAI: The Next Frontier in Intelligent Decision-Making
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 transparency, accountability, and bias mitigation Featuring insights from cutting edge research, including a Cambridge University project on self-driving cars, this episode maps the future landscape of AI-driven decision making. Relevant links: Speaker’s Bio Zeynep Tunc is a credit risk professional with experience managing originations, customer management, and collections teams for consumer and small business portfolios. She joined SAS in 2022 and is currently leading risk management activities across Northern Europe. Zeynep is passionate about driving automation, seamless customer experiences, convergence of credit and fraud evaluations across customer lifecycle, AI-driven customer engagements, and working with clients to support near and long-term strategic roadmaps to drive value. Before joining SAS, Zeynep held key roles at financial institutions including Citibank, HSBC, Toyota Finance, and UniCredit, as well as software vendors such as FICO. Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning. About SAS SAS is a global leader in data and AI. We help organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. No matter how you prioritize risk, SAS has proven solutions and best practices to help organizations establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands. SAS® provides on-demand, high-performance risk analytics to ensure greater efficiency and transparency. Strike the right balance between short- and long-term strategies. And confidently address changing regulations and manage compliance. Discover why 90% of the Fortune 100 use SAS. .
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Inside the Mind of a Buy-Side CRO
04/08/2025
Inside the Mind of a Buy-Side CRO
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, inflation volatility, the introduction of new tariffs, stress testing and liquidity risk obstacles. Peter Mortensen, CRO of Russell Investments, joins us today to share his insights on the risk trends, challenges and opportunities impacting the global investment management community. Relevant Links: Speaker’s Bio Peter Mortensen is chief risk officer at Russell Investments, where he is responsible for measuring and monitoring market and liquidity risks for the firm's risk management program and regulatory reporting. He was promoted to CRO in June 2023, after serving a stint as the firm’s managing director of investment risk. In his current role, Peter also oversees the development, daily operation and support of Russell Investments’ proprietary multi-asset enterprise risk management system, which facilitates quantification of market, liquidity, credit and concentration risks. Since July 2015, he has assisted the CFA Institute with their curriculum development on risk management. Prior to joining Russell Investments in 2012, Peter worked as a senior risk analyst in the product solution group at Nykredit Bank. In that role, he was responsible for the development and implementation of OTC pricing models, in addition to models for pricing expected liquidity and capital costs arising from OTC trades.
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Forecasting 2025: Risk Trends and Predictions
02/07/2025
Forecasting 2025: Risk Trends and Predictions
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 - ranging from rising cyber threats, third-party risks and AI encroachment to evolving regulatory and climate risks to geopolitical volatility and supply-chain uncertainty – created a very challenging environment. Part of the problem is that many of the major risk types are interconnected and distributed across multiple transmission channels. For example, cybersecurity not only covers ransomware attacks and internal breaches but also requires monitoring of threats from both third-party vendors (like CrowdStrike) and from AI tools, like deepfake technology, used by cyber criminals. Likewise, geopolitical risks, such as the Russia/Ukraine and Israel/Hamas wars, have a major impact on the supply chain. This year, risk managers can expect to face many of the same issues, while also tackling global debt problems, deglobalization, political upheaval, and even greater AI, cyber and third-party hazards. Relevant Links: (GARP column by Cris deRitis) Speaker’s Bio Cristian deRitis is Managing Director and Deputy Chief Economist at Moody's Analytics. As the head of econometric model research and development, he specializes in the analysis of current and future economic conditions, scenario design, consumer credit markets and housing. In addition to his published research, Cristian is a co-host on the popular . He can be reached at .
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Modernizing Risk Management in Today’s Competitive Landscape
12/18/2024
Modernizing Risk Management in Today’s Competitive Landscape
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 advantage. Key topics: - Top challenges risk teams face in cost rationalization and automation - How modernizing risk technology impacts business processes and decision-making. - Balancing business continuity, modernization, and regulatory demands - Addressing banking industry challenges and trends related to risk modernization over the next 5 years Speakers’ Bios Martim Rocha, Global Head of Risk Banking Solutions at SAS Martim manages a team of global experts on banking risk management, defining roadmaps and priorities for SAS solutions and supporting customers all over the world on their journey to take the best of the SAS solutions, from scoping and defining the best approach for each business case to helping customers taking the SAS solutions through implementation to be live as a production system. Martim has published several papers and has spoken at several conferences around the world on the topics of Risk Management in Banking, Risk and Finance Integration, IFRS9/CECL, Regulatory Risk Management, ALM, Capital Planning , Scenario Based Analysis and Stress-testing. With SAS for more then 17 years, he played the role of Strategic Advisor and Solution Designer on projects such as Stress-testing on a G-Sib based in London; IFRS9 and Stress-testing at G-SIB bank covering more than 60 locations worldwide; IFRS9 impairment at a couple of Top 5 Nordic Bank covering 5 countries; IFRS9 full-scope at Top banks in UAE; and IFRS9 impairment at more than a Top 5 South African Bank. Martim has more than 25 years of experience in the financial services industry on the topics of risk management, business analytics and data management. He has designed and managed projects for banks, insurance firms and other financial services companies in areas such as financial management, risk management, predictive analytics, financial and sales performance, strategy management, and customer analysis and segmentation. In addition, he was a lecturer for courses on advanced decision support systems, data warehousing and data mining at the Autonomous University of Lisbon and at the ISCTE Business School. Before joining SAS, Martim was a partner on the Business Analytics focused consulting firm, Noscitare where he led the delivery of many IT projects in financial services companies. Martim has a post-graduate degree in Business Administration from Nova SBE and has an undergraduate degree in Computer Science from ISIG. Luis Jesus, Senior Manager at Risk, Fraud and Compliance Solutions , SAS Luis Jesus is a risk management professional with 20+ years of experience in the financial services sector. He is currently a Senior Manager in the Integrated Balance-sheet Management solutions. Luís has a professional experience of more than 20 years in the financial sector being involved in different risk management projects namely on the implementation of the Basel Accord requirements, development of PD, LGD and CCF models, operational risk frameworks, recovery and resolution plans, ICAAP and ILAAP frameworks, development of IFRS9 compliant impairment calculation information systems and risk governance. Before joining SAS he was the Chief Risk Officer in a Portuguese bank and before that he was an Associated Partner in KPMG. Links from today’s discussion: Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning. About SAS SAS is a global leader in data and AI. We help organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. No matter how you prioritize risk, SAS has proven solutions and best practices to help organizations establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands. SAS® provides on-demand, high-performance risk analytics to ensure greater efficiency and transparency. Strike the right balance between short- and long-term strategies. And confidently address changing regulations and manage compliance. Discover why 90% of the Fortune 100 use SAS. sas.com/riskmanagement.
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Operational Resilience: Current Challenges and the Road Ahead
12/13/2024
Operational Resilience: Current Challenges and the Road Ahead
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 daunting task. At financial institutions, the operational resilience umbrella covers everything from AI, geopolitical threats and cyber risk to fraud, money laundering, IT outrages, third-party risk and disaster recovery. Indeed, on any given day, an operational resilience leader could have to contend with, for example, a cyberattack, an AI threat, a money-laundering scheme, or the fallout from a natural disaster or from wars in Eastern Europe and the Middle East. Governance and regulatory obstacles, moreover, also come with the job. With so many different problems to contend with, there’s not necessarily a one-size-fits-all approach for operational resilience. But a manager must stay on top of trends and be aware of all potential risks, while also following best practices – all as part of an effort to withstand, adapt and recover from disruptive events. *The views expressed by our guest speaker, Pedro Morales, are his alone and do not necessarily reflect those of his employer. Relevant Links: Speaker’s Bio Pedro Morales is the Director and Global Head of AML/Sanctions Compliance for Google. He previously served as Google’s Global Head of Enterprise Risk Management for Payments, and has also worked in various leadership roles at the Federal Reserve Bank of New York, where he supervised large banks.
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2025 Trends in Banking: The AI Maturity Pivot
11/27/2024
2025 Trends in Banking: The AI Maturity Pivot
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 on investment while navigating complex regulatory landscapes. Key Insights: - How banks can align AI strategies with business priorities - Potential benefits and risks of AI technology - Innovative applications supporting small businesses, fraud prevention, and customer experience - Social good opportunities in AI development Dive into the future of banking technology with this must-listen podcast episode. Relevant Links: Speakers’ Bio Theodora Lau, Founder, Unconventional Ventures Theodora Lau is the founder of Unconventional Ventures, a public speaker, and an advisor. She is the co-author of The Metaverse Economy (2023) and Beyond Good (2021), and host of One Vision, a podcast on fintech and innovation. Her monthly column on FinTech Futures explores the intersection of financial services, tech, and humanity. She is named one of American Banker’s Most Influential Women in FinTech in 2023. She is also a regular contributor and commentator for top industry events and publications, including BBC News, Finovate, American Banker, and Journal of Digital Banking. Julie Muckleroy, Global Banking Strategist, SAS With a background in marketing leadership roles at SaaS organizations and large US banks like Bank of America and Wells Fargo, Julie brings extensive knowledge and expertise in global banking trends and marketing strategies. She evaluates the future state of banking as a strategist at SAS. Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning. About SAS SAS is a global leader in data and AI. We help organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. No matter how you prioritize risk, SAS has proven solutions and best practices to help organizations establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands. SAS® provides on-demand, high-performance risk analytics to ensure greater efficiency and transparency. Strike the right balance between short- and long-term strategies.
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Generative AI: Trends, Benefits and Risks
10/17/2024
Generative AI: Trends, Benefits and Risks
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 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: 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.
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Real-time Customer Decisions in the Age of AI
08/30/2024
Real-time Customer Decisions in the Age of AI
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 goals throughout the credit value chain, from the point of onboarding (including KYC, credit risk and fraud assessments and marketing) and beyond. Today’s episode will focus on: What are the global trends driving change in customer decisioning in financial services? What problems/challenges are there with conventional approaches? What are the benefits of modernizing your credit decisioning infrastructure? How are forward-thinking organizations deriving concrete business value from their decisioning modernization projects? Links from today’s discussion: Speakers Bios: Terisa Roberts Global Head of Risk Modeling and Decisioning, SAS Terisa Roberts is a risk management professional with 20 years of experience primarily in the financial services sector. She is currently a Director and Global Lead for Risk Modeling and Decisioning at SAS. Terisa has an extensive background in risk modeling for retail and commercial portfolios including regulatory capital stress testing and IFRS9/CECL. She advises banks, other financial services providers and regulators concerning innovations in Risk Modeling and Decisioning including artificial intelligence and machine learning. Teresa holds a Ph.D. in Operations Research and Informatics and lives in Sydney Australia Sarah Murphy, Principal Director, Accenture Data and AI As a Principal Director at Accenture, Sarah leads the growth of Intelligent Decisioning within the Applied Intelligence practice, leveraging 25+ years of risk management and operational experience in financial services and global consulting. Sarah has a proven track record of solving complex risk issues across the credit customer lifecycle, applying predictive analytics and decision management to transform business culture, minimize exposure, increase profitability, and create risk management centers of excellence. She also has a strong executive presence and excellent communication skills, enabling her to partner with clients and stakeholders at all levels and deliver value-added solutions. Passionate about staying at the forefront of the latest trends and technologies in intelligent decisioning, her mission is to help organizations harness the power of data and analytics to optimize their decision making, enhance their customer experience, and achieve their strategic goals. Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning. About SAS SAS is a global leader in data and AI. We help organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. No matter how you prioritize risk, SAS has proven solutions and best practices to help organizations establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands. SAS® provides on-demand, high-performance risk analytics to ensure greater efficiency and transparency. Strike the right balance between short- and long-term strategies. And confidently address changing regulations and manage compliance. Discover why 90% of Fortune 100 companies choose SAS to solve their toughest challenges at .
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Stress Testing: Past, Present and Future
08/15/2024
Stress Testing: Past, Present and Future
Hear from Cristian deRitis, deputy chief economist at Moody’s analytics, about the evolution of stress testing, current trends, and the biggest challenges facing banks and regulators. Regulatory stress tests play a vital role in ensuring that large banks hold enough capital to withstand extreme recessions, while internal stress tests at banks are used for everything from capital and liquidity planning to risk monitoring, risk identification and operational resilience. The 2023 failures of a group of mid-sized U.S. banks, however, have led some critics to question whether the Federal Reserve’s annual stress test is broad enough, comprehensive enough and sufficiently proactive – particularly with respect to emerging threats and rare tail risks. Globally, meanwhile, we’ve seen stress testing expand beyond capital and liquidity and into areas like climate risk, which has created a whole new set of hurdles for regulators and banks. In the future, to address perceived flaws, it’s feasible that we could see a broadening of regulatory stress tests and changes to central banks’ approaches to scenarios. Banks, meanwhile, may consider increasing the frequency of their internal tests and expanding their use of AI models to rapidly factor in a wider array of scenarios. Relevant Links: (Risk Intelligence column by Cristian deRitis) Speaker’s Bio Cristian deRitis is Managing Director and Deputy Chief Economist at Moody's Analytics. As the head of econometric model research and development, he specializes in the analysis of current and future economic conditions, scenario design, consumer credit markets and housing. In addition to his published research, Cristian is a co-host on the popular . He can be reached at .
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AI on the Buy Side: Risks, Challenges and Opportunities
07/25/2024
AI on the Buy Side: Risks, Challenges and Opportunities
Nirav Shah, a founding partner at Versor Investments, speaks with GARP editorial director Robert Sales about the pros and cons of artificial intelligence and machine learning for buy-side institutions. Though significant concerns remain about the bias, fairness an explainability of AI and ML, these innovative technologies have made great inroads in financial services. Banks, for example, now use AI and ML for everything from anti-money laundering to fraud detection to risk modeling and analysis, while asset management firms employ these tools for portfolio optimization and risk mitigation. Nirav Shah discusses the role ML plays in risk reduction and alpha generation at buy-side institutions, and offers his thoughts on, among other topics, data governance and data management challenges, the growth of generative AI, the importance of regulation, and potential future applications of this technology. Speaker’s Bio Nirav Shah is a founding partner at Versor Investments, where he has built innovative, scalable systems for using alternative data and AI/ML techniques. These tools are used in the firm's investment strategies, particularly within the futures and equities markets. He has also worked on various parts of the investment process at Versor, ranging from research to portfolio construction and trading. He has nearly two decades of experience in quantitative and systematic investment management. Prior to Versor Investments, he founded a consulting firm focused on quantitative research. Earlier, he served as Vice President at Investcorp in New York, where he focused on asset allocation and quantitative research. His career also includes a role as a Quantitative Researcher at Phoenix Global Capital Management, a CTA based in Chicago.
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Geopolitical Risk: Trends, Challenges and Prognostications
04/14/2024
Geopolitical Risk: Trends, Challenges and Prognostications
Hear from Daniel Wagner, CEO of Country Risk Solutions, about the complexities of the global geopolitical risk landscape. In these volatile and uncertain times, identifying, measuring and managing geopolitical risk is a daunting task. Everywhere we turn, geopolitical struggles are grabbing headlines, whether we’re talking about, for example, the Israel-Hamas and Russia-Ukraine wars, U.S.-China strategic relations, or Red Sea hostilities. These multi-layered events are having a huge impact across the risk management spectrum, affecting everything from market risk to supply-chain risk to credit risk, cyber risk and liquidity risk. Complicating matters further, they are idiosyncratic and very difficult to predict. Keeping all this in mind, there are certainly still steps that financial risk managers can take to better measure and mitigate geopolitical threats. Our guest speaker, Daniel Wagner, is the perfect person to shed light on today’s complex geopolitical environment and to peer into the future. Links From Today’s Discussion: Speaker’s Bio Daniel Wagner, founder and CEO, Country Risk Solutions Daniel has more than three decades of experience assessing cross-border risk. He is an authority on political risk insurance and analysis and has worked for some of the world’s most respected and best-known companies, including AIG, GE, the African Development Bank, the Asian Development Bank, and the World Bank Group. Until the end of 2023, he was Adaptation Finance Lead and Technical Advisor on Private Capital Mobilization for COP28 in Abu Dhabi. Prior to that, he was Senior Investment Officer for Guarantees and Syndications at the Asian Infrastructure Investment Bank in Beijing and Abu Dhabi. Daniel has published 10 books – Decision-Making in the Polycrisis Era, The Chinese Epiphany, The Chinese Vortex, The America-China Divide, China Vision, AI Supremacy, Virtual Terror, Global Risk Agility and Decision-Making, Managing Country Risk, and Political Risk Insurance Guide – as well as more than 700 articles on current affairs and risk management. He is a regular contributor to such publications as the South China Morning Post, Sunday Guardian, Diplomatic Courier and Fair Observer, among many others. Please see for a full listing of his publications and media interviews.
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Risk Resilience: 2024 Trends and Perspectives
02/16/2024
Risk Resilience: 2024 Trends and Perspectives
In this podcast, Julie Muckleroy, Global Banking Strategist from SAS, and Abraham Izquierdo, Managing Director of Trading and Treasury Risks at Grupo Financiero Banorte, explore the top risk management trends for 2024. With the start of 2024, persistent high interest rates and inflation remain key concerns. Adding to these challenges are potential conflict escalation in the Middle East, threats to global shipping lanes, and historically low water levels in Panama, among others. The fallout from the failure of Silicon Valley Bank and the rapid growth of Generative AI are also being analyzed, impacting both smaller financial institutions' balance sheets in the U.S. and the wider financial landscape. Speakers’ Bios: Abraham M Izquierdo, FRM: Managing Director of Trading & Treasury Risks at Grupo Financiero Banorte, overseeing balance sheet oversight, policy compliance, hedging strategies, and interest rate risk management. He also manages liquidity risk framework and the Basel III directive, as well as capital management and surveillance for Grupo Financiero Banorte. Julie Muckleroy: Global Banking Strategist in SAS’ Global Industry Marketing organization. With a background in marketing leadership roles at SaaS organizations and large US banks like Bank of America and Wells Fargo, Julie brings extensive knowledge and expertise in global banking trends and marketing strategies. She evaluates the future state of banking as a strategist at SAS. Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning. Learn more of the trends shaping the banking sector in 2024: About SAS As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at
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Forecasting 2024: Risk Trends and Predictions
02/05/2024
Forecasting 2024: Risk Trends and Predictions
Hear from Moody’s Analytics’ Cris deRitis about geopolitical risk, cybersecurity, political unease, supply-chain threats, and other key issues that will impact risk managers this year. 2023 was a hectic and extremely challenging year for risk managers. The U.S. regional banking crisis grabbed headlines, with failures being blamed on everything from poor risk culture and ineffective risk modeling to interest-rate volatility – and even to the speed at which news travels in the social media era. Geopolitical risk and supply-chain risk also contributed to an environment of volatility and uncertainty, fueled by the start of a violent conflict between Israel and Hamas, the ongoing Russia-Ukraine war, and attacks on commercial shipping vessels in the Red Sea. Technology, moreover, has evolved, with cyberattacks becoming more sophisticated and more prevalent, and with new innovations – like generative AI – bringing both risks and opportunities. That leads us to today’s topic: namely, how will the remainder of 2024 shake out? What changes may be on the horizon, and which trends will have the greatest impact on the financial risk management landscape? Cris deRitis, the deputy chief economist at Moody’s Analytics, sheds some light on what lies ahead for risk managers. Links From Today’s Discussion: SPEAKER BIO: Cristian deRitis is the Deputy Chief Economist at Moody's Analytics. As the head of model research and development, he specializes in the analysis of current and future economic conditions, consumer credit markets and housing. Before joining Moody's Analytics, he worked for Fannie Mae. In addition to his published research, Cristian is named on two U.S. patents for credit modeling techniques. Cristian is also a co-host on the popular . He can be reached at .
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Real Estate Risk in Volatile Times
11/21/2023
Real Estate Risk in Volatile Times
Hear veteran risk manager, advisor and professor Clifford Rossi’s viewpoints on trends, threats and opportunities in the commercial and residential real estate markets. The past couple of years have been an extremely challenging time for risk practitioners charged with measuring and managing real estate risk. In both commercial real estate and residential real estate, concerns have been raised globally about interest rates, inflation and economic uncertainty. Indeed, in a recent Federal Reserve survey on salient risks – part of the Fed’s October Financial Stability Report – roughly 75 percent of respondents cited the potential for “large losses on CRE and residential real estate.” CRE, more specifically, has been plagued by escalating vacancy rates for office buildings, thanks in part to the remote work trend that started during the pandemic and has since taken off. Residential real estate, meanwhile, has dealt with worries about housing affordability. As a former CRO at multiple banks and as an ex-senior risk manager at Fannie Mae and Freddi Mac, Cliff Rossi, our honored guest today, knows all about the CRE and residential real estate risks facing financial institutions today. Cliff, the current Director of the Smith Enterprise Risk Consortium at the University of Maryland (UMD), speaks with GARP editorial director Robert Sales about global real estate concerns and challenges, and offers advice on how firms can more effectively manage their exposures. SPEAKER’S BIO: Clifford Rossi (PhD) is the Director of the Smith Enterprise Risk Consortium at the University of Maryland (UMD) and a Professor-of-the-Practice and Executive-in-Residence at UMD’s Robert H. Smith School of Business. He is also the author of GARP’s monthly “” column. Prior to entering academia, Rossi had nearly 25 years of experience in banking and government, having held senior executive roles in risk management at several of the largest financial services companies. His most recent position was Managing Director and Chief Risk Officer for Citigroup’s Consumer Lending Group, where he was responsible for overseeing the risk of a $300+B global portfolio of mortgage, home equity, student loans and auto loans with 700 employees under his direction. While there he was intimately involved in Citi’s TARP and stress test activities. He also served as Chief Credit Officer at Washington Mutual (WaMu) and as Managing Director and Chief Risk Officer at Countrywide Bank. Previous to these assignments, Rossi held senior risk management positions at Freddie Mac and Fannie Mae. He started his career during the thrift crisis at the U.S. Treasury’s Office of Domestic Finance and later at the Office of Thrift Supervision working on key policy issues affecting depositories. Rossi was also an adjunct professor in the Finance Department at the Robert H. Smith School of Business for eight years and has numerous academic and nonacademic articles on banking industry topics. Rossi is frequently quoted on financial policy issues in major newspapers and has appeared on such programs as C-SPAN’s Washington Journal and CNN’s Situation Room. His book for risk practitioners and graduate students, A Risk Professional's Survival Guide, was published in 2014 by John Wiley & Sons, Inc. His research interests are in financial and nonfinancial risk management, risk governance and analytics and climate risk.
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AI, ML, Blockchain, Crypto and CBDCs: Risks and Opportunities of Disruptive Technologies
10/30/2023
AI, ML, Blockchain, Crypto and CBDCs: Risks and Opportunities of Disruptive Technologies
Hear from Wall Street veteran and author Aaron Brown about the impact of fast-evolving technology on risk management. Financial institutions are now using everything from machine-learning modeling and generative AI to blockchain and public-key cryptography for risk monitoring, measurement and mitigation. What’s more, we can see on the horizon the development of other tools – like central bank digital currencies – that could further alter the landscape. However, each of these technologies present their own set of challenges, and it’s important for risk managers to understand both their advantages and potential drawbacks. Aaron Brown, a renowned author and former CRO of AQR Capital Management, has had a front-row seat to the evolution of technology in financial risk management. He joins GARP editorial director Robert Sales to discuss the pros and cons of technological innovations, and to explore what’s on the horizon, drawing on his previous work as a trader, portfolio manager, head of mortgage securities and risk manager for several global financial institutions. SPEAKER'S BIO Aaron Brown teaches finance and mathematics as an adjunct at NYU and writes Risk Intelligence’s monthly “Tech Perspectives” column. He is a distinguished risk manager who has held a variety of high-level positions on Wall Street, dating back to the early 1980s. Most recently, he served for 10 years as chief risk officer of the large hedge fund AQR Capital Management. His books on risk management include The Poker Face of Wall Street, Red-Blooded Risk, Financial Risk Management for Dummies and A World of Chance. In 2011, he was named GARP’s Risk Manager of the Year.
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Risk-Based Decisioning in an Age of Uncertainty Part 2
09/06/2023
Risk-Based Decisioning in an Age of Uncertainty Part 2
In this podcast Zeynep Salman, Head of Risk Decisioning, EMEA at SAS, will explore the top trends and market practices for financial institutions as they adapt to digitizing credit decisioning. We will dive deeply into key success factors for establishing innovative credit customer journeys while achieving successful business outcomes that keep the lending business profitable. We will also discuss how a country’s regulatory requirements and market dynamics can affect the transformation journey. Link from today’s discussion can be found here: Speaker’s Bio Zeynep Salman is a credit risk professional with experience managing originations, customer management, and collections teams for consumer and small business portfolios. She joined SAS in 2022 and is currently leading risk decisioning advisory activities across EMEA. Zeynep is passionate about driving automation, seamless customer experiences, convergence of credit and fraud evaluations across customer lifecycle, AI-driven customer engagements, and working with clients to support near and long-term strategic roadmaps to drive value. Before joining SAS, Zeynep held key roles at financial institutions including Citibank, HSBC, Toyota Finance, and UniCredit, as well as software vendors such as FICO. ----------------------- Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning. About SAS As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at
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Risk-Based Decisioning in an Age of Uncertainty Part 1
08/23/2023
Risk-Based Decisioning in an Age of Uncertainty Part 1
Is it possible for financial institutions to offer on-demand, superior customer experiences while making risk decisions in near real-time in an increasingly digital and interconnected world? That is the question we’ll explore in this podcast featuring Terisa Roberts, Global Solution Lead, Risk Modeling and Decisioning at SAS, and Bruce Erb, Director – Credit Risk Consulting, KPMG. Traditional financial institutions are encountering additional hurdles, including fierce competition from agile newcomers, new regulatory demands for operational resiliency, and increased technology risk. In an age of digital lending driven by artificial intelligence, what are modern financial institutions doing differently to remain agile and profitable while keeping costs in check? We’ll delve into several strategies that financial institutions are adopting for risk-based decision-making to bolster their resilience in times of uncertainty. Speakers Terisa Roberts, Global Solution Lead, Risk Modeling and Decisioning, SAS Terisa Roberts is a risk management professional with 15 years of experience primarily in the financial services sector. She is currently a Director and Global Solution lead for Risk Modeling and Decisioning at SAS. Terisa has an extensive background in risk modeling for retail and commercial portfolios including regulatory capital stress testing and IFRS9/CECL. She advises banks, other financial services providers, and regulators concerning innovations in Risk Modeling and Decisioning including artificial intelligence and machine learning. Teresa holds a Ph.D. in Operations Research and Informatics and lives in Sydney, Australia. Bruce Erb, Director – Credit Risk Consulting, KPMG Bruce Erb has been a risk professional for over 23 years in both industry and consulting. At KPMG, he has supported financial services clients in a variety of risk programs and initiatives with a current focus on transformation of credit and risk governance operating and execution models leveraging alternative approaches including automation, advanced analytics, and cognitive technologies. Bruce was the product owner and co-inventor of an audit investigation tool that leveraged digitization, automation, and cognitive components to augment the way risk professionals evaluate and score a commercial loan. He was a loan officer for more than nine years before joining KPMG. ----------------------- Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning. About SAS As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at
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Risk Management’s Latest Trial by Crisis
05/12/2023
Risk Management’s Latest Trial by Crisis
Hear veteran risk manager, advisor and professor Clifford Rossi’s perspective on recent turmoil in the banking system, on where risk management fell short, and the profession’s readiness for future challenges. The collapse of Silicon Valley Bank (SVB) and subsequent events inevitably invited comparisons with past crises. It was widely assumed that the damages of 2023 would be more contained than those of the Great Financial Crisis of 2008. But they could similarly leave a long tail, with economic and regulatory repercussions well into the future. A clear parallel between 2008 and 2023 is the spotlight placed on risk management. In the intervening years, the risk function in banking and financial services grew in prestige and responsibility – and its failings were documented as having played a role in SVB’s demise. Drawing from regulatory experience early in his career, to senior risk and credit positions at major financial institutions, to his current professorship at the University of Maryland, Cliff Rossi has lived through multiple crises while observing the effectiveness and evolution of risk management. GARP Risk Intelligence’s columnist, Rossi has been especially critical of boards of directors’ risk governance, one of many timely subjects covered in his podcast conversation with GARP contributing editor Jeff Kutler. SPEAKER'S BIO Clifford Rossi (PhD) is an Executive-in-Residence and Professor of the Practice at the Robert H. Smith School of Business, University of Maryland. He is also the author of GARP’s monthly “CRO Outlook” column. Prior to entering academia, Rossi had nearly 25 years of experience in banking and government, having held senior executive roles in risk management at several of the largest financial services companies. His most recent position was Managing Director and Chief Risk Officer for Citigroup’s Consumer Lending Group, where he was responsible for overseeing the risk of a $300+B global portfolio of mortgage, home equity, student loans and auto loans with 700 employees under his direction. While there he was intimately involved in Citi’s TARP and stress test activities. He also served as Chief Credit Officer at Washington Mutual (WaMu) and as Managing Director and Chief Risk Officer at Countrywide Bank. Previous to these assignments, Rossi held senior risk management positions at Freddie Mac and Fannie Mae. He started his career during the thrift crisis at the U.S. Treasury’s Office of Domestic Finance and later at the Office of Thrift Supervision working on key policy issues affecting depositories. Rossi was also an adjunct professor in the Finance Department at the Robert H. Smith School of Business for eight years and has numerous academic and nonacademic articles on banking industry topics. Rossi is frequently quoted on financial policy issues in major newspapers and has appeared on such programs as C-SPAN’s Washington Journal and CNN’s Situation Room. His book for risk practitioners and graduate students, A Risk Professional's Survival Guide, was published in 2014 by John Wiley & Sons, Inc. His research interests are in financial and nonfinancial risk management, risk governance and analytics and climate risk.
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Behind the Balance Sheet Part 1: Integrated Balance Sheet Management in the Current Banking Climate
04/20/2023
Behind the Balance Sheet Part 1: Integrated Balance Sheet Management in the Current Banking Climate
Hear from Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions at SAS, and Professor Robert Jarrow of Cornell University’s SC Johnson College of Business as we continue our discussion of the current banking climate as it relates to integrated balance sheet management — and specifically asset and liability management (ALM). This special two-part podcast series will explore conditions under which a bank is at risk of a “run” by looking internally at their assets and liabilities. We will also consider how to model simulations to project when assets will become negative relative to liabilities and determine how to ensure resiliency within financial institutions. Part 1 of this series will tackle the following topics: Introduction to deposit models for FDIC insurance How to handle hedging and mismatched balance sheets Determining what analytical methods are essential to "doing it right" An introduction to non-maturity demand deposit runoff that will be a key component for part 2 of this series Speaker Bios Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS He joined the Risk Research and Quantitative Solutions group at SAS Institute, Inc. in June 2022 through SAS’ acquisition of his previous firm, the Kamakura Corporation. He founded Kamakura in 1990 and served as Chairman and Chief Executive Officer until the acquisition. Dr. van Deventer's emphasis at SAS Institute, Inc. is enterprise-wide risk management and modern credit risk technology. His primary financial consulting and research interests involve the practical application of leading-edge financial theory to solve critical financial risk management challenges. Robert Jarrow is the Ronald P. and Susan E. Lynch Professor of Investment Management at Cornell University’s SC Johnson College of Business. He is a co-creator of the Heath-Jarrow-Morton (HJM) model, the reduced form credit risk model, and the forward price martingale measure, the standards for pricing and hedging derivatives at major financial institutions. Jarrow is a pioneer of arbitrage-pricing theory and has written seven textbooks and over 225 pieces for academic journals. Jarrow is on the advisory board of numerous academic journals including the Frontiers of Mathematical Finance. His research has won many awards, and he was named IAFE Financial Engineer of the Year in 1997. Jarrow is in the Fixed Income Analysts Society Hall of Fame, Risk Magazine’s 50-member Hall of Fame, is listed in the Who’s Who of Economics, and received Risk Magazine’s Lifetime Achievement Award in 2009. He is currently an IAFE senior fellow and serves on various industry advisory boards. Over the years, GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to risk management. This time, we are partnering on a brand-new podcast, Risk and Resiliency to take a closer look at ways to face the challenges ahead, to be more agile, vigilant, and quickly adapt to shifting market conditions. About SAS As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at
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Behind the Balance Sheet Part 2: Integrated Balance Sheet Management in the Current Banking Climate
04/20/2023
Behind the Balance Sheet Part 2: Integrated Balance Sheet Management in the Current Banking Climate
Welcome back for the conclusion of this special two-part podcast series featuring Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions at SAS, and Professor Robert Jarrow of Cornell University’s SC Johnson College of Business. We continue the discussion of the current banking climate as it relates to integrated balance sheet management — and specifically asset and liability management (ALM). Part two of this series will tackle the following topics: A further exploration of non-maturity demand deposit runoff Deeper understanding of the estimated default probabilities for a bank that funds investments in Treasury securities with deposits Examples of how those default probabilities vary by maturity and the bank's initial capital position Tangible actions for aligning your balance sheet and optimizing your risk profile Speaker Bios Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS He joined the Risk Research and Quantitative Solutions group at SAS Institute, Inc. in June 2022 through SAS’ acquisition of his previous firm, the Kamakura Corporation. He founded Kamakura in 1990 and served as Chairman and Chief Executive Officer until the acquisition. Dr. van Deventer's emphasis at SAS Institute, Inc. is enterprise-wide risk management and modern credit risk technology. His primary financial consulting and research interests involve the practical application of leading-edge financial theory to solve critical financial risk management challenges. Robert Jarrow is the Ronald P. and Susan E. Lynch Professor of Investment Management at Cornell University’s SC Johnson College of Business. He is a co-creator of the Heath-Jarrow-Morton (HJM) model, the reduced form credit risk model, and the forward price martingale measure, the standards for pricing and hedging derivatives at major financial institutions. Jarrow is a pioneer of arbitrage-pricing theory and has written seven textbooks and over 225 pieces for academic journals. Jarrow is on the advisory board of numerous academic journals including the Frontiers of Mathematical Finance. His research has won many awards, and he was named IAFE Financial Engineer of the Year in 1997. Jarrow is in the Fixed Income Analysts Society Hall of Fame, Risk Magazine’s 50-member Hall of Fame, is listed in the Who’s Who of Economics, and received Risk Magazine’s Lifetime Achievement Award in 2009. He is currently an IAFE senior fellow and serves on various industry advisory boards. Over the years, GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to risk management. This time, we are partnering on a brand-new podcast, Risk and Resiliency to take a closer look at ways to face the challenges ahead, to be more agile, vigilant, and quickly adapt to shifting market conditions. About SAS As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at
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SVB and Signature Bank: The Roles of Risk Modeling, Culture and Stress Testing
04/14/2023
SVB and Signature Bank: The Roles of Risk Modeling, Culture and Stress Testing
Hear from risk modeling expert Tony Hughes about the parts various risk management techniques played in recent bank failures, as well as the current challenges facing modelers. Risk models have grabbed headlines for all the wrong reasons over the past couple of years, and now they are in the news again thanks to the sudden collapses of Silicon Valley Bank and Signature Bank. People want to know why the internal risk models at these banks did not properly account for interest-rate risk and why they seemed completely unprepared when their depositors made a mad dash for the exits. The failures have also raised thought-provoking questions about liquidity risk management deficiencies, the proper use of stress testing, risk governance problems, and the flaws in current bank regulation. What’s more, these issues are being raised at a time when modelers are contending with other significant challenges, such as forecasting for expected credit losses during a time of great uncertainty. Risk modeling maestro Tony Hughes, Risk Intelligence’s , joins GARP editorial director Robert Sales to discuss some of the hottest FRM issues of today. Speaker's Bio: Tony Hughes is a risk modeling and ESG expert. He has more than 20 years of experience as a senior risk professional in North America, Europe and Australia, specializing in model risk management, model build/validation and quantitative climate risk solutions.
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Forecasting 2023: Predictions for Financial and Non-Financial Risks
02/17/2023
Forecasting 2023: Predictions for Financial and Non-Financial Risks
Hear risk management prognostications from Cris deRitis, the deputy chief economist at Moody’s Analytics. Risk managers have been severely tested over the past 12 months. Rising interest rates, supply-chain problems, inflation and heightened geopolitical risk contributed to an environment of volatility and uncertainty, and many financial institutions grabbed headlines for all of the wrong reasons. Operational risk disasters, for example, have cost large banks hundreds of millions of dollars. Credit risk modelers, meanwhile, are still trying to figure out the best path forward after wrongly forecasting a wave of defaults amid the pandemic. The financial sector was also hit hard by data breaches that exposed cybersecurity flaws, while cryptocurrencies, highlighted by the collapse of FTX, experienced a host of failures as part of the so-called “crypto winter.” Last but certainly not least, we’ve witnessed the expansion of artificial intelligence in financial risk management, though concerns about explainability, bias and transparency remain. How will the remainder of 2023 of shake out? What regulatory changes may be on the horizon, and which trends will have the greatest impact? Cris deRitis, the deputy chief economist at Moody’s Analytics, speaks with GARP editorial director Robert Sales about what lies ahead for risk managers. Speaker’s Bio: Cristian deRitis is the Deputy Chief Economist at Moody's Analytics. As the head of model research and development, he specializes in the analysis of current and future economic conditions, consumer credit markets and housing. Before joining Moody's Analytics, he worked for Fannie Mae. In addition to his published research, Cristian is named on two U.S. patents for credit modeling techniques. He can be reached at .
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2023 Market Trends: How Will They Impact ALM Efforts?
02/09/2023
2023 Market Trends: How Will They Impact ALM Efforts?
Hear from Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS, as we discuss the impact of current market trends on asset liability management With a possible recession looming and inflation near its highest levels since the 1980s, navigating around balance sheet issues remains complex. In this first of a series of podcasts on asset and liability management (ALM) featuring academic and industry experts, we will tackle the following topics: · The current regulatory and marketplace-driven challenges for risk analytics · How to handle term structure modeling in times of rising interest rates and inverted yield curves · Requirements for quantitative approaches in ALM in the current environment Speaker Bio Dr. Donald van Deventer, Managing Director--Risk Research and Quantitative Solutions @ SAS Dr. Donald van Deventer joined the Risk Research and Quantitative Solutions group at SAS Institute, Inc. in June 2022 through SAS’ acquisition of his previous firm, the Kamakura Corporation. He founded Kamakura in 1990 and served as Chairman and Chief Executive Officer until the acquisition. Dr. van Deventer's emphasis at SAS Institute, Inc. is enterprise-wide risk management and modern credit risk technology. His primary financial consulting and research interests involve the practical application of leading-edge financial theory to solve critical financial risk management challenges. Over the years, GARP and SAS have worked together to bring risk practitioners unique insights on a variety of topics related to risk management. This time, we are partnering on a brand-new podcast, Risk and Resiliency to take a closer look at ways to face the challenges ahead, to be more agile, vigilant, and quickly adapt to shifting market conditions. About SAS As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at
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Future-Proofing Liquidity Risk: The Stagflation Dilemma
12/07/2022
Future-Proofing Liquidity Risk: The Stagflation Dilemma
Hear from Alla Gil, the co-founder and CEO of Straterix, as we examine the liquidity risk challenges and trends that have been fueled by extremely rare market conditions. In a recent survey conducted by the Securities Industry and Financial Markets Association, 80% of economists named stagflation – or a combination of high inflation and stagnant growth – as the greatest long-term risk to the U.S. economy. The economists said that stagflation presents an even bigger threat than a 2023 recession, and this news has undoubtedly added to the consternation currently felt by liquidity risk managers. We haven’t seen a true period of stagflation in the U.S. since the oil crisis of the 1970s, and its therefore very difficult to factor this anomalous macroeconomic risk into contemporary liquidity risk models. Alla Gil joins GARP editorial director Robert Sales to discuss the impact of stagflation and the steps risk practitioners responsible for modeling and managing liquidity risk can take to ensure that they have enough cash on hand, both now and in the future? SPEAKER’s BIO: Alla Gil is CEO and co-founder of Straterix Inc. With an academic background in theoretical mathematics, she began her Wall Street career at Goldman Sachs, working on stochastic models for derivative pricing. While heading Global Strategic Advisory teams at Citigroup, Nomura - and again at Goldman Sachs - she introduced stochastic modelling and an optimization approach to the world of corporate finance. Over a 20-year period, Alla advised banks, sovereign treasuries, insurance companies, asset managers, and pension funds on ALM, stress testing, long-term risk projections, liquidity, optimal capital allocation and balance sheet optimization With Straterix, she has developed a methodology and tools that enable clients to automate the process of scenario creation and expansion to assist in strategic capital planning and optimization, as well as risk management and stress testing.
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Tail Risk: How to Incorporate Extreme Events into Financial Risk Modeling
10/28/2022
Tail Risk: How to Incorporate Extreme Events into Financial Risk Modeling
Hear from Prof. Clifford Rossi as we examine some of today’s biggest financial risk modeling challenges. Risk modelers have recently been befuddled by rare and powerful non-financial events, including the pandemic, geopolitical conflicts, radical weather happenings, and a supply-chain crisis. What are the characteristics and impacts of these unpredictable incidents? In this podcast, University of Maryland professor and GARP CRO Outlook columnist Clifford Rossi will address these issues, and also share his views on how financial institutions can better understand these risks and link them properly to financial losses.
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The Next Frontier: Addressing Climate Risk’s Biggest Analytical Challenges With AI
12/13/2021
The Next Frontier: Addressing Climate Risk’s Biggest Analytical Challenges With AI
In this episode, we’ll explore how AI and advanced analytics can help assess and address climate risk, while keeping the business lights on.
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Addressing Bias and Fairness in AI Systems
11/01/2021
Addressing Bias and Fairness in AI Systems
“Fairness in AI” is getting a lot of attention, especially related to credit decisioning, not only for onboarding but throughout the credit lifecycle. This episode explores the intersection of fairness and trust, demonstrates why defining - much less ensuring - fairness is more difficult than it sounds, and provides strategies organizations can use to enable fair and trustworthy AI.
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Explainable/Interpretable AI
10/04/2021
Explainable/Interpretable AI
One of the major challenges with effectively developing, deploying, and managing AI systems are often related to the “black box” nature of the model. Specifically, the complexity and non-linear nature of variables in some black-box AI models may be difficult to explain or understand. This includes explainability of the model logic as well as the individual decisions made by the model.
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