The use of the Credit Scoring system reduces the time required to process or extend credit, provide objective credit assessments and multiples credit placement channels. Additionally, it benefits the clients by optimizing the information which they must deliver to the institution in order to have access to different types of credit.

FINANWARE™ Credit Scoring makes it easy for the officers of a Financial Institution to define quantitative and/or qualitative variables relative to the operation, client attributes, credit history, and others, on which to build the scoring or rating models, by using different weights and the corresponding scores, at the level of each segment defined by the institution for its lending business, according to various qualification criteria or risk acceptance levels.

The consolidated storage of information enables the identification of clients that were already included in the system and provides information on their historical rating and the reasons for such rating. It also provides significant staff productivity statistics pertaining to the number of applications processed, approved, changed or rejected. This tool generally facilitates the implementation of automated credit pre-approval strategies to set up product packages.

The system structure allows for the analysis of the credit scoring results at the level of each client, thus facilitating the analysis of information clustered at the level of the officer, office, area, credit segment, product, amount requested, date and result, among other items.

Interacting with FINANWARE™ Credit Risk IRBa the data are integrated with the estimated Expected Loss calculation and its factors as very valuable analysis information and as a facility allowing the Instituting to ensure synchronicity and consistency between the follow-up and credit extension models to strengthen credit assessment and comply with the New Basel or Basel II Capital Agreement and with the regulations or regulatory framework established by supervisory and regulatory agencies.

It has the following built-in functionalities: - Calculation of ex-ante Expected Loss - Definition of Institutional Policies - Evaluation Matrixes - Support for the Linear Models Logit and Probit - Lending Limits - Conversion of Variables (Dummy, Transformed, Homologated, Discretized and Ordered) - Transaction Reports, among others.