3rd Annual Advanced Credit Risk Modelling and Validation 2019 | Marcus Evans Pan Asia | 26 November 2019 | TBA, Singapore

The implementation of IFRS 9 has change the way banks book provisions on financial assets. With IFRS 9, banks are required to practice future potential losses, by using ECL model instead of incurred loss model, lower closing rate, and incorporation of numerous models in order to comply with IFRS 9 regulation. The volume and depth of data required, not to mention the analysis of data extracted, has lead banks to unmanageable, even too large for legacy systems to process. Financial institutions are having major concerns on meeting data requirements to support ECL model, with data gaps growing.

Data standardisation across all financial institutions also offers significant benefit for industry and regulators alike, suggesting that it should be easy. In practice however, the process has been difficult to apply. The information gaps that arise in the absence of standards definitely aggravate financial fragility.

In terms of macroeconomic effect, major risk includes a growth recession in China, a rise in global long term real interest rates, and a crescendo of populist economic policies that undermine the credibility of central bank independence, resulting in higher interest rates on safe, advanced country government bonds. A significant Chinese slowdown has already unfolded as President Trump's trade war against China continues. This negative impact has indirectly affected all market's volatility.

With the rise in AI, leading financial institutions are leveraging AI to achieve credit risk predictions, monitoring, model reliability, and effective loan processing, indirectly creating superior customer experience, new revenue streams, and lower costs. Yet, most institutions are not taking advantage on this technology fully, keeping them one step behind.

In this conference, key experts in the address critical issues most relevant to the current financial economy. Now, more than ever, financial institutions are in dire need of finding solutions for optimize results in data gathering,

In this conference, the world's foremost experts address the critical issues most relevant to the current economy. The message is that the rapid pace of change in the global business environment presents a multitude of hazards for entities of all types. Now more than ever, organizations are called to see beyond business-as-usual. Disruptive change represents a choice which side of the change curve do organizations wish to be on? Remaining complacent will only place you in the position of becoming captive to events. Thus, over these two days, we invite you instead to take part in some of the most important conversations occurring in the business world today so that you will be able to chart your own course.

2019 Speakers

Frankie Phua
Managing Director and Head, Group Risk Management, UOB, Singapore

Nishank Srivasta
Managing Director, Credit Risk Management, Credit Suisse, Singapore

Vivien Chan Pik Har
Head, Credit Risk Management, RHB Bank, Singapore

Dr. Tey Chun Maw
Head, Singapore Credit Risk and FRS 9 Model Validation, Maybank, Singapore

Muhammad Rehan Nasir Rana
Head, ICAAP and Model Validation, Dubai Islamic Bank, UAE

Nihit Mohan
Senior Manager, Retail and PvB Credit Risk Stress Testing, Standard Chartered Bank, Singapore

Ismas Isurifazly Ismail
Vice President, Credit Risk and Modelling, Bank Rakyat, Malaysia

Louis Brown
Head, Credit Risk Modelling, Investec, United Kingdom

2019 Sponsors

GOLD SPONSOR:
• Sas