Speed and Scalability: Automation in Credit Risk Modeling
Date:
Tuesday, October 19, 2021
Location:
On-Demand
Duration:
45 minutes
In the past year, we have noticed a surge in demand for digitized solutions. We've reflected on the role automation plays in credit risk modeling and management, and how we can design our products to make it easier for machines and the machine learning algorithm to perform the tasks of humans at a similar level of accuracy as humans with a higher speed and scalability that automation brings.
Join our webinar to learn:
Top reasons many are starting to automate their client risk workflows
How we have highlighted client feedback into our considerations in product design
Concrete examples on how our product design derives speed and scalability to clients
Michelle CheongDirector, Senior Lead of Product Development, RatingsXpress, S&P Global Market Intelligence
Michelle is Head of the CreditPro® product, owning product development, quality assurance, strategy, go to market, thought leadership and the customer experience globally. Full Bio
Michelle is Head of the CreditPro® product, owning product development, quality assurance, strategy, go to market, thought leadership and the customer experience globally. Prior to joining S&P Global Market Intelligence, Michelle was a portfolio manager at Barclays Global Investors, State Street Global Advisors and Goldman Sachs Asset Management (with responsibility of AUM of up to USD 1 billion), where she focused on alpha, portfolio construction and risk research. Minimize
S&P Global Contributor
Shruthi NagarajanProduct Manager, RatingsXpress, S&P Global Market Intelligence
S&P Global Contributor
Sowmya KarreProduct Manager, RatingsXpress, S&P Global Market Intelligence
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