UT Students who wrote their thesis at ING

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. 

Sebastian continued to work at ING. ING utilized the techniques developed within his thesis to challenge and refine their model development methodology. Specifically, his thesis investigated and enhanced new feature design using the transactional data of retail customers to predict their probability of default. His work improved the predictive power of the model, potentially resulting in fewer defaulting clients.

Jens is an enthusiastic and hardworking student, with a strong focus on continuous learning. Located in the Netherlands, he is a double MSc student in the areas of Financial Engineering & Management, Data Science & Business, and Enterprise Architecture & IT Management. Moreover, his BSc in Electrical Engineering forms an ideal basis for technical problem solving within the financial industry.

His technical proficiency spans across a diverse array of programming languages and mathematical knowledge. Beyond technical expertise, he excels in communication and interpersonal skills, demonstrating a proven ability to work independently or collaboratively. These proficiencies and interests are demonstrated through various projects, publications, and positions at companies, aiming to support his interests.

Vitalii is master’s student in Business & Information Technology, specializing in AI research and data science. He just started the preparation for his thesis assignment at ING.

After initialisation of the thesis, information related to Thomas and his thesis will be updated.