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    Leveraging Quant Modeling & AI with Model Governance Insights: A Comprehensive Guide by MathWorks Experts at Cypher 2023

    MathWorks experts Prashant Rao, Arpit Narain, and Rahul Krishnan explore the complexities and opportunities in leveraging Quant Modeling and AI for better model governance in the financial sector, with a focus on ESG, at Cypher 2023.

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    Leveraging Quant Modeling & AI with Model Governance Insights: A Comprehensive Guide by MathWorks Experts at Cypher 2023

    At the recent Cypher 2023 conference, a trio of experts from MathWorks—Prashant Rao, Arpit Narain, and Rahul Krishnan—delved into the intricate world of Quant Modeling, AI, and Model Governance. The session was a deep dive into how these technologies are shaping the financial landscape, with a particular focus on Environmental, Social, and Governance (ESG) factors.

    The Importance of ESG

    The speakers emphasized the critical role of ESG in today's financial world. They discussed how ESG is not just a buzzword but a necessity, impacting everything from climate change to social responsibility. The team argued that working on ESG is impactful and should be considered a priority, not just from an ethical standpoint but also from an investor's perspective.

    Collaboration is Key

    One of the key takeaways from the session was the importance of collaboration. The speakers pointed out that solving ESG problems requires a multi-disciplinary approach, involving not just financial experts but also climate scientists, philosophers, and more. This collaborative effort is essential both at the industry level and within organizations.

    Model Monitoring in ESG

    When it comes to model monitoring, especially in the context of ESG, the speakers highlighted several key parameters. These include data and performance drift for AI models, volatility impact for market risk in trading models, and regime shifts for low-frequency models. The idea is to have a comprehensive monitoring system that can adapt to the specific needs and challenges of ESG modeling.

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