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 Joost Dekker Confidence scores for Large Language Models

MSc Thesis Bjorn B.J.T. Oude Avenhuis Machine Learning for Predicting Energy Performance Certificates: Evidence from a Dutch Residential Mortgage Portfolio

MSc Thesis Xander Bon Developing an LLM-Based Methodology for Automated Data Remediation in Credit Risk Modelling: A Case Study at a Large Dutch Bank

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