UT Alumni working at ING

Former master student at the University of Twente under the supervision of dr. Joerg Osterrieder and dr. Marcos Machado, writing his MSc thesis at ING, in the credit risk department.

"Not only myself, but many colleagues in ING are impressed by the way you’ve performed your thesis in Risk. You performed the research diligently, professionally and have achieved a very solid result. A clear proof on our proudness is that, after your well deserved holiday break, you will join us on a permanent basis and continue the great things you’ve done so far!" - Leon Dusée

Jaap is now a Business analyst within the Credit Risk Department. He is responsible for integrating regulations (Basel, IFRS9,CRR), credit models and other requirements into the risk engine.

Former master student at the University of Twente under the supervision of dr. Joerg Osterrieder and dr. Marcos Machado, writing his MSc thesis at ING, in the credit risk department.

In his master thesis titled 'Stakeholder-Centric Approach to Applying Machine Learning to Probability of Default Models' he underscores the importants of active engagement and value creation for stakeholders within the decision-making process.

Dyon is now working at ING as a business analyst

Former master student at the University of Twente under the supervision of dr. Joerg Osterrieder and dr. Marcos Machado, w his MSc thesis at ING, in the credit risk department.

In his master thesis titled 'Enhancing Credit Risk Prediction in Retail Banking: Integrating Time Series and Classical ML Algorithms' he explored different ways of predicting the Probability of Default with Time Series Classification (TSC). The research revealed that TSC algorithms, particularly when applied to end-of-day balance data, have the potential to significantly enhance the predictive accuracy of credit risk models.

Sebastian now works at ING in the COO Credit Risk Department as a consultant. Currently, his work involves improving the data quality for the wholesale banking portfolio’s. The end goal is to create a single source of truth within the bank that enables us to become more data driven. He is mainly involved in the automation team to map the transactions of the clients to the ultimo outstanding and improve the remediation process.

Former master student at the University of Twente under the supervision of dr. Joerg Osterrieder and dr. Patricia Rogetzer. He wrote his master thesis on expainable AI for fraud detection ML models.

In his master thesis titled 'The Creation of an Explainable Artificial Intelligence Model to Enhance Interpretability and Transparency for ING in Their Fight Against Transactional Fraud' he explores ways of enhancing transparency and interpretability of ML models for Fraud Detection Models. 

Stijn now works as a Business Analyst for ING.