rajan-nagina

Rajan Nagina

Head AI-Practice

Newgen Software

Dhruv Parikh

Partner, Financial Services

EY

Rajvinder Singh Kohli

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:

  • 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.
  • 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
  • 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.
  • 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
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