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Event Date |
Tue Feb 23 AEDT - Thu Feb 25 AEDT (almost 4 years ago)
In your timezone (EST): Mon Feb 22 5:00pm - Wed Feb 24 7:15pm |
Location | Virtual |
Region | APAC |
Alternative data, or ‘unstructured data’, refers to the non-traditional data beyond the typical financial sources such as geolocation, payment history and social media. The rise in the use of alternative data has enabled the financial industries, including banks to shape better decision making and credit assessment.
This virtual live training course will explore the application of alternative data in the current financial industry and the effective practices of unstructured data set management, analysis and processing models. Attendees will have the opportunity to learn about how to identify and address the potential challenges, pitfalls and risks in the use of alternative data.
What will you learn?
• Difference between traditional data and alt data
• The benefits of using alt data in credit risk assessment
• The framework of alternative credit scoring
• How to manage the alt data set
• Machine Learning and alt data
• Potential challenges an risks of using alt data
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Who should attend?
• Relevant departments may include but are not limited to:
• Credit assessment
• Risk management
• Data analysis
• Compliance
2021 Speakers
Raja Debnath
Managing Partner, Cogence Labs
Sidharth Kamani
Credit Risk Manager, New Development Bank
Jordan Mizrahi
CEO, First to Invest Ltd
Girish Nair, Ph.D.
Global Quantitative Strategy, Bank of America
Sachin Tonk
Director Data & Privacy Operations, Standard Chartered Bank
Karen Wong
Consulting Director, PwC
Philip Yu
Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong