In this interactive session, we’ll discuss:

  • How do rule-based and statistical credit models differ, and why do many lenders in developing markets still rely on scorecards rather than modelling?
  • What are the key steps in developing a credit scoring system, including data collection, cleaning, transformation, and feature engineering?
  • How can financial institutions utilise alternative data sources, such as telco, device, psychometric, and open finance data, to score underbanked consumers?
  • What are the main challenges in using alternative data, including concerns around privacy, standardisation, and compliance?
  • How are AI and large language models making credit scoring faster, more scalable and more accessible, and what does this mean for traditional banks?

Agenda (SGT)

  • 4:00 PM – 4:10 PM: Introduction of Elements of Consumer Credit Risk Analysis workshop by Urs Bolt, Chairman, The Banking Academy
  • 4:10 PM – 4:40 PM: Presentation by Christo Georgiev, CEO and Founder, LenderLink
  • 4:40 PM – 5:00 PM: Q&A