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IFRS 9 for Insurers: Implementing a Robust, Efficient and Transparent Methodology

October 17, 2019
30 minutes

During this 30 minute webinar, gain a practical demonstration to produce the new expected credit loss (ECL) calculations as required by International Financial Reporting Standard 9 (IFRS 9), to avoid the black box effect.

Some key themes we will discuss:

  • How you can combine internal information with our data and analytics to meet IFRS 9 requirements
  • Why the use of sophisticated loss given default methodologies is absolutely crucial for efficient allocation of reserves/provisions.
  • How you can best utilise scarce resources in order to generate accurate IFRS 9 expected credit losses
  • Why a robust and transparent methodology is key to successful audits post-implementation.
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S&P Global Contributor
Tauqir is a director in the Risk Services team, based in London. He focuses on assisting credit-sensitive institutions (including banks, insurers, governments and funds), operating globally, in improving their internal rating systems for all low default asset classes, including corporates, financial institutions, specialised lending and public finance. He specialises in delivering regulatory, pricing and financial reporting (IFRS 9) solutions. Full Bio

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