Who Should Attend

Credit risk/scoring managers, data miners, those involved in model vetting/validation and auditing, risk strategy developers, and credit risk executives.

Learn How To

• Leverage Alternative Data – Discover how to use non-traditional data sources for credit risk modeling and feature engineering.
• Smart Variable Selection & Profit-Driven Evaluation – Learn techniques to choose the right variables and assess model performance with a business impact focus.
• Advanced Modeling Techniques – Explore cutting-edge methods like ensemble models, neural networks, and Bayesian networks.
• Master Low Default Portfolios & Validation – Understand challenges in low default environments and best practices for validation.
• Stress Testing & Risk Resilience – Gain insights into stress testing frameworks to strengthen risk management.
• Benchmarking & Performance Measurement – Learn how to assess and compare models effectively for better decision-making.