![rajan-nagina rajan-nagina](https://newgensoft.com/wp-content/uploads/2023/11/rajan-nagina.jpg)
Rajan Nagina
Head AI-Practice
Newgen Software
![Dhruv Parikh-EY](https://newgensoft.com/wp-content/uploads/2024/06/Dhruv-Parikh-EY.jpg)
Dhruv Parikh
Partner, Financial Services
EY
![Rajvinder Singh Kohli Rajvinder Singh Kohli](https://newgensoft.com/wp-content/uploads/2024/05/Rajvinder.jpg)
Rajvinder Singh Kohli
Sr. VP Growth and Strategic Initiatives
Newgen Software
AI and data science have transformed credit risk analytics by enhancing accuracy, efficiency, and real-time decision-making capabilities. These technologies provide a more holistic and dynamic approach to risk management compared to traditional methods, enabling financial institutions to better manage risks, comply with regulations, and reduce operational costs.
Join us for a webinar to get insights into:
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Changing World of Credit Risk Analytics
- Overview of traditional vs. modern approaches in credit risk management.
- The importance of advanced analytics in the current financial landscape.
- Key drivers for the adoption of new age platforms in credit risk analytics.
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Key Application Areas of Credit risk management
- meeting regulatory requirements like Basel III/IV, IFRS 9, and stress testing.
- enabling real-time risk analytics and decision-making
- Continuous risk monitoring
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Advanced Analytics Techniques in Credit Risk
- Deep dive into predictive analytics, and machine learning models to discuss how they enhance credit scoring and risk assessment.
- Case studies on the successful application of AI and ML in credit decisions, reducing default rates, and managing portfolio risks.
- The role of big data in credit risk: improving data collection, processing, and analysis.
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Exploring New Age Data Analytics Platforms
- An overview of Newgen Low Code Data Science platform and the capabilities that makes data driven risk analytics possible.
- Low code method of data analytics the brings all stakeholders, business heads credit policy owners, underwriters, and data scientists together to build data driven credit decisions.
- Integrated model development, selection, deployment, monitoring, and governance to ensure to credit policy compliance.
- Risk model repository and best practices for faster adoption.
Agenda
- Introduction
- Revolutionizing Credit Risk Management: Harnessing the Power of Advanced Analytics and Modern Platforms
- Demo session
- Q&A and Conclusion