Credit scoring models are essential tools for enhancing financial institutions’ lending decisions, particularly in MSME and retail segments. With advances in analytics and artificial intelligence, scoring models are becoming increasingly predictive and efficient. This training introduces participants to modern approaches to credit scoring and explores how AI can be integrated to support more accurate decisions.
By the end of the training, participants will be able to:
- · Understand the principles and rationale behind credit scoring.
- · Design and develop effective scoring models.
- · Incorporate AI and data-driven insights into credit decision-making.
- · Evaluate adoption steps for AI-enabled scoring systems.
Day 1
· What is credit scoring?
· Why credit scoring is used
· Outcomes and benefits of credit scoring
· How credit scoring supports risk management
· What to incorporate credit scoring models
Day 2
· Designing credit scoring models
· Types of questions and answers
· Development and practical exercises
· How can AI support in the development of scoring models and credit decisions
· How to use AI and what are the adoption steps
- Credit risk managers
- Data scientists and credit analysts
- Product development specialists
- Risk and compliance officers
- Policy and regulatory stakeholde
