Objective
To implement IFRS 9 and automate the process to increase efficiency and productivity across banks.

Pain Points
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1
IFRS 9, a new guideline, a lot of uncertainty on the models and approaches to be used for computations and data required for the same.
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2
Issues related to the quality of data available to be used for computations.
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3
Contractual repayment schedule required for computation of EAD was not stored in the CBS.
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4
Data readiness is required for the computations.
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5
Time Consuming and complicated manual process.
Solution Given
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1
Kalypto/ECL - Classification and measurement, Individual Impairment module, Collective impairment module, ECL recognition (PD, LGD & macro-economic factors, EAD), SICR checklist, Cash flow generation module.
Solution Highlights
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1
Leveraging the team's global experience and expertise to interpret the new guideline issued.
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2
Sharing data points needed and explaining to bank users on the new norms and suggesting the best models applicable based on the size and portfolio of the bank.
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3
Mapping the models with the data points available at the bank.
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4
CARE implementation team helped the bank sanitize historical data available and make it fit to be used for computations.
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5
Cash-flow generation module was integrated into the system by which contractual repayment schedule for all relevant accounts was generated.
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6
The whole computation process was automated using a trigger-based approach thus minimising manual intervention.
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