Reviving lending growth for a Credit Unionusing AI
Credit Union expectations was to increase underwriter ’s efficiency by lowering the volume of application for manual review and Incremental lift in approval rate
How we are driving a robust credit program for a leading e-retailer
The overall opportunity of this engagement lay in our ability to rebuild and enable the client to drive credit adoption and a sound decisioning process...
First party fraud occurs when customers apply for credit with an explicit intention
to not pay back. Such customers often use fabricated information (including
contact details) at the time of application.
The COVID-induced economic downturn means that traditional through-the-cycle models are drifting from expected paths, with risk models underpredicting outcomes...
Sharper credit decisioning process to accelerate profitable portfolio growth
Our client, a leading financial institution was experiencing increased delinquencies, resulting in credit losses and high operational costs on collections.
One of our major banking clients in the US was seeing significant uptick in ATO (Account Take Over) fraud losses. There was a need for a platform which could help them detect fraud early and accurately...
Delivering growth, lending automation and better member experience for a leading credit union
A leading credit union was looking for an automated digital decisioning system for consumer loans to drive growth and deliver better member experience.
A practitioner’s
note on forecasting Retail Credit Losses
Accurate and reliable forecasting of the Credit Losses has always been a subject of critical focus in Retail portfolio Risk management- in literature and bank’s practices alike.