Article
ZenRisk
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 |
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| 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) |
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| Tag(s) | Artificial intelligence, machine learning, financial services, analytics, market and credit risk |