Data Scientist Fraud Monitoring

At a glanceAre you a pioneering data scientist who likes to think outside-the-box?Would you like to drive new data science solutions to tackle financial fraud?Do you want to work with cutting-edge technologies to catch criminals?Your jobAs a data scientist, in the Grid Channel Security, you will work together with fraud experts, data scientists, machine learning engineers and data analysts to safeguard our customers from criminals. This includes threats such as phishing, account takeover, lost or stolen debit cards, e-commerce fraud, and more.Your role will encompass analysing diverse data sources to get actionable insights. This analysis will include, but not limited to, understanding fraud trends across various payment channels, evaluating the potential of different data fields to enhance our fraud detection, experimenting with different modelling approaches and enhancements, recognizing seasonal patterns, and creating reliable forecasts. Your contributions will extend beyond immediate solutions, serving as a catalyst for ongoing improvements in our fraud detection capabilities through model experimentation and the integration of new data elements. In addition to your focused problem-solving efforts, you will be collaborating with others to brainstorm how data science solutions can help us stay one step ahead of criminals in the ongoing cat-and-mouse game.ABN AMRO is a future driven bank that is working continuously on unlocking the power of data: you will be part of this t…