AI for Risk Management vs Managing the Risks of AI

These innovative technologies offer new ways to generate insights and better support decision-making and are likely to provide still unexplored benefits in automation, productivity, and operational efficiency. And the recent advent of generative AI, Quantum AI, Synthetic Data, and Agentic AI technologies have pushed the adoption of these technologies even further. As many regulators are embarking on AI journey themselves, they are increasingly warming up to the idea of banks running AI also inside of their heavily regulated risk management activities. However they are also forming up strict regulatory expectations for the usage of AI.“ It is critical that banks anticipate and oversee the risks and challenges posed by AI”Bank For International Settlement

Risk organizations at financial Institutions are eagerly exploring the benefits of incorporating AI into their processes, but are also the risk teams that regulators expect to apply a more critical look at the challenges and risks posed by AI.“Risk management frameworks are critical to assess risks and conduct ongoing monitoring of AI systems.”Bank For International SettlementTogether with PRMIA and financial experts we will discuss how financial institutions are balancing the benefits with the risks introduced by AI.

Please note that this meeting will be conducted in English.

EVENT SPEAKERS

Peter Plochan, facilitator, is Principal Risk Management Advisor at SAS Institute assisting institutions in dealing with their challenges around finance and risk processes.. Peter has 18+ years of experience in risk management in financial sector and has assisted various banking and insurance institutions with large-scale risk management implementations while working both internally and also externally as a risk management advisor (PwC). Peter also develops and delivers risk management trainings and webinars on behalf of various organization such as PRMIA, Risk.NET, Bluecourses. For PRMIA Peter delivers also training on Model Risk Management .Peter is member of the PRMIA Vienna Chapter Steering Committee. LinkedIn

David Eschwé, Head of Risk Intelligence, Erste Bank und Sparkasse. As Head of Risk Intelligence & SPK Competence Center, David Eschwé brings 19 years of banking experience and a strong mathematical foundation to the forefront of strategic risk management. In his current role, he is driving the transformation of risk into a strategic business partner, combining classical modeling approaches with cutting-edge machine learning and generative AI technologies.David has a proven track record of delivering innovative solutions across credit risk, regulatory frameworks (Basel II/III/IV, IFRS 9), and AI-driven process automation. He is actively shaping the future of risk management by embedding advanced analytics into business strategy, fostering regulatory dialogue, and unlocking measurable impact through data-driven innovation. LinkedIn

Andreas Magenschab, Head of Group Data & AI at Uniqa . Andreas is having more than 17years of experience in insurance. As a certified Actuary he was covering all areas of Non-Life insurance: form Pricing to Risk Management (Solvency II) over to Accounting (IFRS17). Given that, he shows a broad experience in mathematics / statistics and on how to use data to generate deep insights and predict future outcomes with Machine Learning methods. With his team he is currently working on innovative Data, Analytics & AI solutions in UNIQA that show Business Value. The team is doing this by thinking Data & AI end to end and developing sustainable business solutions with the business partners. Being also responsible for Data&AI Governance in UNIQA “being innovative while staying compliant” is the motto.-LinkedIn

Sandra Sorza, Global solution lead for risk modeling and decisioning at SAS, Sandra is a Global solution lead for risk modeling and decisioning at SAS Institute, supporting financial institutions in strengthening their risk models, credit lifecycle strategies, and decisioning processes. She has more than 13 years of experience in the financial sector, with expertise spanning risk analysis, portfolio management, and credit origination. Throughout her career, Sandra has partnered with banks, fintechs, and telecommunications companies across multiple countries, leading initiatives to enhance analytics infrastructure and accelerate data-driven decision-making. Her work includes the development and deployment of risk solutions, end-to-end model lifecycle management, and decision engine optimization. Sandra holds a Master’s degree in Business Science and Data Analytics from New York University (NYU). Passionate about data, technology, and their application in business, she also contributes to knowledge-sharing through trainings and webinars, aiming to bridge innovation with tangible business impact.- LinkedIn

Renato Rocha Souza, speaker, Director of AI Center of Excellence, Raiffeisen Bank International, Renato is Head of the AI Center of Excellence at Raiffeisen Bank International, with over 20 years of experience in applied mathematics, computer science, data science, machine learning, NLP, generative AI. He has led research and business projects in banking, finance, political science, law, economics, public health, and digital humanities. He holds a Bachelor’s in Electrical Engineering, a Master’s in Production Engineering, a PhD in Information Science, and four postdoctoral fellowships in Computer Science and Digital Humanities (UK, USA, Austria). His career spans academia, industry, and consulting, with leadership roles in universities, startups, tech firms, and the finance sector. LinkedIn

David Weik, Global Agentic AI lead at SAS, David works as a Sr System Architect for Agentic AI in SAS R&D. He helps customers to define and implement data-driven solutions. David’s focus is on implementing seamless integrations for solutions into the existing landscape. Previously, David was a SAS administrator/developer at an insurance company working with the integration capabilities of SAS and Python. - LinkedIn

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