Gilles Verbockhaven

Senior Data Scientist at ING

I moved from my hometown Brussels to Amsterdam about 25 years ago to start a Ph. D in Physics. After several years in the academic world, I started my data driven career at the Dutch National Institute of Statistics (CBS) before joining ING. At ING, I have worked for several departments: customer intelligence, market risk management and Risk and Pricing Advanced Analytics, where I mainly focus on Commercial Pricing and Collection projects. In my free time, I take care of my two sons and when there is some time and energy left, I go running or biking.

My Sessions

Impact of COVID-19 on collection models


The Collection departments take care of customers in arrears. From the day a customer misses a payment, a process is started to ensure the situation is regularized in the best interest of both the customer and the bank. One of the key information a Collection department needs, is the probability that a customer will stay […]

COVID-19 impact

Towards operationalized fairness in ML – fairness definition decision tree & general mitigation approach


We are introducing the ongoing track at ING of operationalizing the application of fairness in ML within various business domains that a bank deals with. This track itself is positioned within the ‘ethics guidelines’ that are also in the process of being created within ING. The current challenges identified are: • Choosing the right fairness […]

Responsible AI