As a statistician, I am accustomed to extracting knowledge from difficult data and passionate about visualizing them appropriately. In my doctoral research I used machine learning techniques to estimate market risks. The main goal was to forecast risks in a data-driven way, reducing subjective decisions as far as possible.
After I gained experience in software development in asset management, central clearing and banking, I joined Scalable Capital. Together we built a digital asset manager that makes investment decisions based on pure quantitative evidence. A rule-based wealth manager, free from human intervention, is the fairest deal investors can be offered.
I am happy to be part of this.