Implementing an effective credit risk management strategy can help generate business that meets sales goals while meeting the qualifications set forth by the credit department.
As firms move ahead in meeting a variety of regulations, executives are looking for solutions that not just meet these requirements, but improve business processes.
The risk function has emerged as an important strategic decision-making partner for critical functions such as business development, finance, operations, and technology.
Institutions are transforming their analytic capabilities to move beyond static reports that explain what happened in the past, to more modern analytics that can explain why an event occurred and what is likely to happen in the future.
In this webinar, we detail the specific challenges facing structured finance investors, and propose effective solutions to help address these challenges.
Moody's Analytics Presents a Comprehensive Approach to Intercompany Loan Transfer Pricing
In order to thrive in today’s competitive environment, financial institutions are adapting to rapidly changing business demands and regulatory requirements and finding new ways to transform their data into business insights and opportunities. Data visualization is an emerging trend in credit risk management.
In partnership with Treasury & Risk Magazine, take a look at this webinar to learn how you can adopt counterparty and credit risk management best practices.
This webinar discusses credit risk management challenges, best practices, stress testing model and approach and private firm C&I risk tools.
This webinar-on-demand features Michael Infante, Chief Credit and Risk Officer of Cisco Capital, who shares his best practices, frameworks, and process. He provides practical insights on topics from a global corporation perspective, including counterparty on-boarding, portfolio monitoring, and credit exposure management.
Thomas Day, Senior Director, Mehna Raissi, Director, and Chris Shayne, Director discuss credit risk management and loss modeling in a stress testing environment.