Agus Sudjianto

Former EVP, Head of Corporate Model Risk Wells Fargo

Until Spring 2024, Agus Sudjianto (now newly retired) was executive vice president and head of Model Risk for Wells Fargo, where he was responsible for enterprise model risk management and serving as Chair of the Model Risk Committee until Spring 2024. Prior to this, Agus was the modeling and analytics director and chief model risk officer at Lloyds Banking Group in the United Kingdom. Before joining Lloyds, he was a senior credit risk executive and head of Quantitative Risk at Bank of America. Prior to his career in banking, he was a product design manager in the Powertrain Division of Ford Motor Company. Agus holds several U.S. patents in both finance and engineering.

Agus has published numerous technical papers and is a co-author of Design and Modeling for Computer Experiments. His technical expertise and interests include quantitative risk, particularly credit risk modeling, machine learning and computational statistics. He holds masters and doctorate degrees in engineering and management from Wayne State University and the Massachusetts Institute of Technology.


Agenda – 9 July 2024

11:30 AM Leveraging AI and process excellence modeling for enhanced risk management

Artificial intelligence and process excellence modeling are pivotal in modern risk management strategies. In this insightful session, we will explore best practices for implementing AI and advanced process modeling techniques to enhance risk management frameworks. Gain a deeper understanding of how to effectively integrate these technologies into your risk management strategies to mitigate potential threats and optimize operational efficiency.

Key Takeaways:

  • Learn how to design and implement robust risk management frameworks utilizing AI and process excellence modeling
  • Discover advanced strategies for identifying, assessing, and mitigating risks in various operational contexts
  • Gain insights into the integration of AI technologies for predictive risk analytics and proactive risk management
  • Understand the role of process excellence modeling in improving organizational resilience and response capabilities
  • Explore practical examples and case studies demonstrating successful risk management implementations