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IFRS 9 financial instruments

Impairment Methodology
Designed to meet requirements of Finance (Accounting) and Risk Departments

The impairment methodology is forward-looking, requiring the reporting entity to report the changes in credit risk of financial institutions in a consistent way with the credit risk measurement methods. Particularly, banks will move from 1 year EL to Lifetime EL.

Finalyse can assist you by bringing our expertise in Risk Management and the fields of Credit Risk Modelling, Accounting and Performance Measurement by implementing the 3-stage model in your computational and reporting streams, to fulfil IFRS 9 requirements in a timely manner.

How does Finalyse address your challenges?

Guidance in the implementation of the 3-stage model for impairments

Proven know-how in credit risk measurement and advanced modelling techniques delivered by seasoned experts

Common interpretation of methodology and guaranteed compliance

Assistance in building a robust reporting stream for the disclosures of your loan loss allowances

Assistance in choosing one of the three approaches that will differ in assessing impairment requirements

A full monitoring of IFRS 9 impacts for P&L and capital planning purpose

To get all your questions answered
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How does it work in practice?

Key Features

  1. Finalyse would design an IFRS 9 framework catering to the bank’s needs comprising of a High-level gap report, Target Operating Model and an Impact Assessment.
  2. During the IFRS 9 implementation phase, Finalyse would focus on the different aspects of Impairment modelling and Expected Credit Losses (ECL) estimation. The classification and measurement of IFRS 9 instruments (as per the SPPI tests) and IFRS 9 Policy documents could also be reviewed/updated as part of this exercise.
  3. Finalyse would also support in the Business Transition phase and ensure the IT/Systems are fully integrated in the parallel run.

Our subject matter experts

Jaydeep Sengupta
Consultant – Expert in IFRS9 and Credit Risk.

Jaydeep is an experienced consultant having almost 8 years of experience in Risk Analytics involving primarily Credit Risk model development, validation, monitoring, and implementation. He has worked in the areas of Expected Loss forecasting & Provisioning, Obligor risk rating/Scorecard, FVO forecasting and PD/LGD/EAD modelling across various portfolios in the context of CCAR/DFAST, Stress Testing, IFRS 9, Basel III/IV, ICAAP & CECL regulations. He has developed and validated models well compliant with internal policies as well as external regulations (ECB, EBA, SR 11-7). Jaydeep has acted as a model risk consultant for several systematically important banks in North America, Europe, and Asia.