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Summary
In our ongoing discussions with clients, we confirmed that inflation, rises in energy and commodity prices, interest rate hikes, real estate price drops, geopolitical tensions, supply chain disruptions and a slowing global economy are areas on people's radar screens going into 2023.
This webinar was developed from the blog series “In Search of Resilience" which attempts to shed light on data-driven insights and solutions to find resilience during these volatile times.
Some of the areas we will focus on are:
- What are the most crucial data points to identify resilient / less resilient industries?
- What do we use for early warning?
- Scalable solutions for surveillance and stress testing.
Speakers
Michelle Cheong
Head of Thought Leadership, Credit Solutions
Michelle P Cheong is Head of Thought Leadership for Credit Solutions at S&P Global Market Intelligence, where she leads the development of global thought leadership for credit risk. She has previously led product development for RatingsXpress, as well as business development and product management in S&P Global.
Michelle P Cheong is Head of Thought Leadership for Credit Solutions at S&P Global Market Intelligence, where she leads the development of global thought leadership for credit risk. She has previously led product development for RatingsXpress, as well as business development and product management in S&P Global. Prior to S&P Global Market Intelligence, Michelle spent her career as a Portfolio Manager at Barclays Global Investors, State Street Global Advisors and Goldman Sachs Asset Management, with responsibility of AUM up to USD 1bn; specialising in alpha, portfolio construction and risk research. Michelle holds a Bachelor's degree in Mathematics and Economics (with Distinction) and a Master's degree in Financial Engineering from Cornell University, and completed the All But Dissertation at the Ph.D. program in Finance at Nanyang Business School, Singapore. Michelle offers a unique combination of practitioner and research expertise to the world of credit risk.
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