We were able to achieve complete and accurate automation of the credit risk evaluation and rating process to enhance efficiency and effectiveness of existing credit approval process. Our flexible product platform ensured all credit risk evaluation rules and parameters were successfully configured and parametrized through easy-to-navigate front end screens. These models were thoroughly tested and calibrated in coordination with expert Business and Risk Teams and using customer data from existing portfolio. As next step, FI and Corporate Rating Models were developed covering variety of quantitative (financial) & qualitative factors covering business, financial, industry, company and management specific factors. All supporting information like Master Rating Scale, Adjustments, model and judgement over-rides, User defined customer and model applicability criteria was configured in Credit Risk Engine.ĭuring start of the initiative, we developed a master rating scale for the Bank. Implementation of these models was done by configuring these models in Credit Risk Engine product module within RiskCube platform. The Rating Models were developed in compliance with guidelines mentioned in Basel II accord and related developments. To achieve project objectives we have developed two separate Financial Institutions and Corporate Credit Risk Rating Models for the Bank. The scope included development of Master Rating Scale, development of Financial Institutions & Corporate Rating Models, Installation of models on Credit Risk Engine under RiskCube platform and configuration of approval process workflow and comprehensive MIS with rating reports, complete history of customer data and their internal / external risk ratings, rating migrations, process monitoring reports, rating review calendars, rating wise portfolio and industry reports all these at customer & portfolio level covering all asset classes. The Bank wanted to implement Credit Risk Rating Model within their credit approval process for existing & new customers related to Banking and Corporate exposures asset class. Wholesale Bank based in Bahrain having exposures across carious asset classes such as Sovereign, Banks and Corporates It includes standard portfolio analyses such as group reports, rating migration and benchmarking.Ĭase Study: Implementation of Credit Risk Engine Client

Integrates risk data from internal sources and supports the workflow encompassing the rating / scoring process.Provision to maintain counterparties and model any type of related quantitative and qualitative information in user defined formats.Capability to define and include risk drivers, parameters, complex transformation rules, weights and lookups at multiple levels in any form required by the business rules governing the bank’s credit decision making process.Provides financial institutions a robust and flexible modeling platform to efficiently build credit rating scorecards / models for credit risk evaluation and estimation for all asset classes, counterparties and product types.Stand alone comprehensive and scalable web based solution for Credit rating / scoring for wholesale and retail banking which can be deployed across multiple branches and departments.A menu driven interface for business-user with friendly graphical user interface.

Bank loan risk engine