As one of the newest employees at Easy Solutions, I’d like to take this opportunity to introduce myself. I am joining the Company as a Data Scientist. Before becoming part of Easy Solutions, I spent my time working at SIX Financial Services in Luxembourg and doing a PhD in Machine Learning at Luxembourg University. During that time, I focused my work on developing new Machine Learning models for fraud detection. In particular, I found that traditional Statistical Models are not well-aligned with business goals, in the sense that they don’t take the actual financial gains and losses present in fraud detection into account. Therefore, I worked on developing algorithms targeted to maximize the actual profit of the financial institution. Before my PhD, I worked at GEMoney and ScotiaBank in the statistical modeling departments, mostly creating credit risk scorecards and general models for risk analytics. Lastly, I did a B.S. and M.A. in Industrial Engineering at Universidad de los Andes in Bogota.
You may be wondering why I moved from Europe to Bogota, Colombia – trust me, you are not alone, as people on both sides of the Atlantic have asked me that same question. The truth is that I am honored to be working for a company with such huge potential that has already positioned itself as a leader in fraud prevention. But for me, more importantly, a company with a strong focus on innovation and who believes in the power of Data Science and Machine Learning to create better fraud prevention and detection solutions for its customers.
From now on, I will be sharing my thoughts about Machine Learning and its applications for information security and fraud prevention. If you want to get an early taste of what I have to say, take a look at the academic and industrial papers I have written (www.albahnsen.com/publications). There, you can also find several discussions about machine learning and fraud detection.
I will be in in touch soon!