Daniel combines experience at the intersection of finance, quantitative modeling, and technology. In 2018, he started at a Zurich family office, where he learned to analyze and value companies using advanced quantitative methods, while simultaneously beginning his law studies at the University of Tübingen. His focus was on developing data-driven investment strategies for stocks, indices, and commodities and their algorithmic implementation. Already during his studies, he worked with Luca on machine learning models. This approach laid the foundation for the founding of VinciFi.

Luca studied Applied Computer Science at HAW Hamburg. Already during his studies, he gained over seven years of practical experience at the Swiss inspection company SGS. There he was significantly involved in developing enterprise software solutions and contributed to building a globally deployed customer portal that digitizes key business processes.