Thesis Stijn van der PolThe Creation of an Explainable Artificial Intelligence Model to Enhance Interpretability and Transparency for ING in Their Fight Against Fraud

Thesis Amato AlessandraApplications of Early Warning Systems for Customer Segmentation of Wholesale Banking Clients

Thesis Jaap BeltmanDeveloping an Early Warning System for Retail Customer Deterioration: A Data-Driven Approach

Thesis Daniel ChenDevelopment of Financial Distress Prediction Model for the Watchlist Classification of Wholesale Banking Clients at ING

Thesis Sebastian GoldmannEnhancing Credit Risk Prediction in Retail Banking: Integrating Time Series and Classical ML Algorithms

Thesis Dyon KokStakeholder-centric approach to applying machine learning to probability of default models

Thesis Jens Rell[TENTATIVE] Incorporating Environmental, Social and Governance Factors within Credit Ratings of Companies

Thesis Vitalii Fishchuk[TENTATIVE] Automated Prompt Optimization for LLMs aimed at Maximizing Accuracy of Information Extraction from Sustainability Reports