Credit Underwriting Process and the 5 C’s Of It
Lending to individuals or businesses is risky and a tough decision to be made, which involves credit risk decisions, operational processes, regulatory adherence to KYC norms, fraud checks, etc. which result in the final decision on approval or decline and the loan amount.
Previously, lending decisions were made manually which was subject to high risk, cost unfriendly and laborious process.
With the advent of technology and the digital shift of businesses, credit underwriting and assessment have become automated. The proliferation of data in digital form, computation power to process complex analytical algorithms in minutes, and access to the digital network has made underwriting easy.? The choice is simple between being digital or becoming obsolete.
Nowadays, banks and other financial institutions utilize credit reports generated through an automated system to underwrite loan processing. Credit scores are generated through an automated system that uses algorithms to give each applicant a score. The system then uses scores for decisioning to provide loans, credit card approvals, or mortgage pre-approval.?
Credit assessment and underwriting undergo a systematic process that follows a transparent process resulting in an authentic, cost-effective, and faster assessment.
The process of underwriting is as follows:?
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The 5 C's of Credit Underwriting
The 5 C’s of the underwriting process are Character, Conditions, Capital, Capacity, & Collateral. These are the criteria to determine whether to sanction credit or not.
Once all the components of underwriting are evaluated, the underwriter provides a recommendation for approval.?
Credit Assessment and Robotic Transformation (CART) brings automated credit assessment & underwriting process. It is an advanced tool that uses algorithms with the help of Artificial Intelligence (AI) & Machine Learning (ML) to bring out automated results.?
CART’s versatile features such as Bank Statement Analysis, ITR Analytics, GSTR, Salary Slips, & Account Aggregator Framework helps in a thorough and detailed assessment of financial statement and details. The combined features analyze almost every section of the financial details which helps in generating accurate credit scores and thereby helps in making a better and less risky lending decision. a part of the credit underwriting process.
CART and its features help Financial Institutions in credit underwriting easily and effectively by making them less reliable than the manual underwriting processes.
For more details, visit our website Novel Patterns