Russia’s invasion of Ukraine poses varying levels of credit risk for a number of sectors across Europe. Moody’s is monitoring the situation and updating the market on credit implications as the crisis evolves.
Today’s Acquire or Be Acquired Conference provides you with strategic discussions ranging from successful mergers, organic growth and deposit competition to digital strategy, customer experience and technology partnerships.
Perspectives from the FIC and Financial Institutions in South Africa
Screening customers and other counterparties against adverse media as well as multiple internal, domestic and international sanctions, watchlists and Politically Exposed Persons (PEP) can often pose significant operational challenges. In this session, learn how to identify high-risk individuals and entities, accurately define PEPS, reduce false positives, and learn about international best practices.
The session will look at:
Join this webinar to learn about the challenges and best practices in the banking sector.
We will discuss:
Join Doug Johnson from Moody’s Analytics along with Alan Hoskins (President of American Farm Mortgage), and Caleb Hopkins (Vice President from Westside State Bank) as they discuss how to overcome the top 5 challenges of Ag Lending.
In this session, Moody’s Analytics subject matter experts presented the results of IFRS 9 calculation on the benchmark portfolio for 2020 Q4 and 2021 Q1 to show how ECL has evolved after the peak of economic stress brought about by COVID-19.
Please join us for our next webinar in partnership with Kenya Banker’s Association in our series for East Africa to discuss challenges and opportunities in wholesale credit risk modeling. Moody’s Analytics and regional experts will be covering the types of commercial / wholesale credit scorecards and their application in current practice. We will be discussing the most common challenges such as lack of default data, calibrating scores to probability of default, COVID – 19 implications and how recent advances in data analytics such as machine learning can be utilised to overcome these challenges.
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