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AI in Finance
UT
Faculties
BMS
ING-UT
ING-UT Collaboration
Research
Theses at ING
AI in Finance
UT
Faculties
BMS
ING-UT
ING-UT Collaboration
Research
Theses at ING
ING Theses Overview
MSc Thesis Stijn van der Pol
The Creation of an Explainable Artificial Intelligence Model to Enhance Interpretability and Transparency for ING in Their Fight Against Fraud
MSc Thesis Amato Alessandra
Applications of Early Warning Systems for Customer Segmentation of Wholesale Banking Clients
MSc Thesis Jaap Beltman
Developing an Early Warning System for Retail Customer Deterioration: A Data-Driven Approach
MSc Thesis Daniel Chen
Development of Financial Distress Prediction Model for the Watchlist Classification of Wholesale Banking Clients at ING
MSc Thesis Sebastian Goldmann
Enhancing Credit Risk Prediction in Retail Banking: Integrating Time Series and Classical ML Algorithms
MSc Thesis Dyon Kok
Stakeholder-centric approach to applying machine learning to probability of default models
MSc Thesis Jens Reil
Evaluating the Impact of Integration of ESG Factors in Credit Ratings Using External Credit Assessment Institutions for Corporates
MSc Thesis Thomas Koene
Navigating Human Rights Due Diligence in Financial Institutions: Creating A Roadmap for Implementation
MSc Thesis Vitalii Fishchuk
[TENTATIVE] Automated Prompt Optimization for LLMs aimed at Maximizing Accuracy of Information Extraction from Sustainability Reports
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