CareEdge | Risk Solutions

Objective

To comply with IAS 39, and IFRS 7 and enable the bank to be ready for IFRS 9 adoption.
Automate Financial Reporting thus to increase the efficiency and productivity across banks.

Pain Points

1
Data available in disparate sources.
2
Unique identifier for a customer not available as each transactional system has its own CIF.
3
Reconciliation of transactional data with GL data.
4
Computation of complicated statistical computations such as PD and LGD and availability and storage of Historical Complexity involved in the preparation of IFRS 7 Risk-based Disclosures.
5
Data required for the computations.
6
Time Consuming and complicated manual process.

Solution Given

1
Kalypto/ECL and FRA - Classification and measurement, Individual Impairment module, Collective impairment module, ECL recognition (PD, LGD & macro-economic factors, EAD), Cash flow generation module, SICR checklist, Generation of GAAP and IFRS financial statements, automated accounting engine, disclosure reports.

Solution Highlights

1
A common database akin to a data warehouse was created for data collation.
2
A unique identifier was generated through the system using NIC number for Retail customers and BRN number for other customers.
3
System facilitates historical data storage required for PD & LGD computation.
4
Manual Upload facility where historical data was unavailable in the legacy system.

5
Automated Computation of PD & LGD thus eliminating manual errors.
6
GL Recon engine which reconciles transactional with GL at the click of a button.
7
Fully configurable Reporting Engine which can be configured from the front-end by business users thus generating IFRS 7 Risk-Based Disclosure reports without much manual intervention.

Key Benefits

Benefits of the Case Study to help you understand our Product and reach of Services in a more convenient way

Reduced time frame for automated financial reporting from 60 days to 15 days.

Total STP with audit controls.

Bank can comply with regulatory needs.

Case Studies

Kalypto/ECL
Tanzania

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

Kalypto/ECL (IAS 39, IFRS 7)
& FRA . SriLanka

Automate Financial Reporting thus to increase
the efficiency and productivity across
banks.

Kalypto / ECL and FRA
SriLanka

To comply with IFRS 9 reporting and automate the Financial Reporting, thus increasing the efficiency and productivity across banks.

Kalypto / ECL and FRA
Bhutan

To comply with IFRS 9 reporting & to automate the Financial Reporting, thus increasing the efficiency and productivity across banks. Also, create one single database for analysis.

Kalypto/V@R
Leading Bank in India

Automate the risk computation process for
efficient risk management and regulatory
compliance.

Rating Report Automation based
on Natural Language Generation

To use the AI technique to improve report writing. To assist analysts by automating their entire report generation processes.

Kalypto/LOS and CLM
SriLanka

To automate the loan appraisal cycle, real-time monitoring of limit and exposure with required
MIS.

Implementing Predictive Credit
Risk Analysis

Assist analysts with predictive risk analysis. Increase effectiveness of risk management by measuring the riskiness of borrowers.

Kalypto/FTP
Bhutan

To adopt advanced methodologies to view every branch, product, and customer from a profit and not just a cost perspective.

Kalypto/Credit
Tanzania

To automate the entire Internal Credit Rating
process, Capital Charge, Limit Monitoring and
Reporting.

Kalypto/ALM
Bhutan

To comply with ALM regulatory reporting and to measure, and monitor liquidity, interest rate risk and currency risk effectively.

Banking

Corporate

Infrastructure

Health

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