ZenRisk is an end-to-end platform that enables continuous predictive model design and maintenance. It allows financial institutions to make smarter decisions by leveraging on machine learning and modern analytics.
|Tech leveraged||Artificial Intelligence, Machine Learning|
|Use case(s)||ZenRisk explains the black-box Machine Learning algorithms and helps FIs to significantly increase revenues.
Key features of ZenRisk are:
1) Business analysis
2) Hybrid Modeling
3) Machine learning feedback loop
|Benefit(s)||Reduction of the model maintenance costs
ZenRisk can help you in reducing the annual maintenance effort for data analysis, validation, and calibration by self-learning procedures.
Saving of economic and regulatory capital
By monitoring your credit risk with ZenRisk, expected losses are estimated more precisely, reduced RWA and thus lower equity/capital requirements.
Increase in profitability
Erroneously rejected but solvent customers are included in the portfolio by using new models - Banking the underbanked.
Reduction of losses
An improvement in the model quality by a few percentage points on the accuracy power, will help to prevent future losses in millions.
|Point of contact(s)
||Justin Ong (Local Sponsoring Partner),
Dr. Chee Wei Yen (Support)
|Tag(s)||Artificial intelligence, machine learning, financial services, analytics, market and credit risk|