Waterloo, Walloon Region, Belgium
I bridge the gap between advanced artificial intelligence and institutional asset management. With over a decade of experience across quantitative finance, supercomputing, and financial machine learning, I build the architectures that drive tomorrow's investment strategies. What I Do: Institutional Innovation: Founded Intratio and AIStockFinder, pioneering the use of ML and quadratic programming to forecast US-listed stock returns and automate portfolio optimization. Tier-1 Delivery: Trusted by the world’s leading financial institutions (including Morgan Stanley, Barclays, APG, and BNP Paribas) to design, pitch, and deliver production-grade solutions in derivative pricing and quantum computing. Always open to connecting with family offices, hedge funds, and quantitative allocators looking to leverage next-generation financial technology.
intratio leverages big data on US equities, artificial intelligence and supercomputing to build equity portfolios that demonstrates top-end risk-adjusted returns.
We deliver tailor-fit solutions to mathematically optimize our clients' business decisions. To do so, we leverage: 1) Design thinking, to prototype the future of our clients' business model and business processes. 2) Machine learning, to forecast the future of our clients' data. 3) Linear and Quadratic programming, Quantum Computing, to mathematically optimize our clients' decisions. 4) Web applications development to deliver a user interface and its dashboards. APIs development to allow our customers to integrate our advanced analytics solution with their legacy and future IT systems. I lead and manage this value proposition end-to-end with a team consisting of the four below profiles: 1) Full Stack Developers 2) Data Scientists 3) Data Architects and Engineers 4) Business Analysts and Consultants
Delivering a strategy consulting mission on behalf of Stefan Dab (Senior Partner) for one of its clients in the Fashion industry.