Interxion (NYSE: INXN) is a leading provider of cloud and carrier neutral colocation data centre services in Europe, serving a wide range of customers through 37 data centres in 11 European countries. Interxion’s uniformly designed, energy-efficient data centres offer customers extensive security and uptime for their mission-critical applications. With more than 500 Connectivity providers and 20 European Internet exchanges across its footprint, Interxion has created cloud, content, finance and connectivity hubs that foster growing customer communities of interest.
Quants in a European Cloud
Interxion and Sayula will present a European FinTech success story. We start with the colocated foundation infrastructure necessary to meet European demands and progress to Sayula’s open development framework platform and added open source components allowing Vontobel to meet their needs for a shared structured derivatives valuation platform.
What You’ll Learn
- Social Mobile Analytics in the Cloud applied to Quants
- How to build a shared and modular valuation platform
- European challenges for Fintech Infrastructure
Bill Fenick, Strategy & Marketing Director, Interxion
Over 20 years of financial services industry experience in data distribution and trading technologies, managed services, co-location and hosting. Prior to Interxion, worked at Thomson Reuters and Tibco.
Holds a PhD from University of Vienna, an MA from Webster University in Vienna, and a BA from UCLA.
Daniel Mueri, COO, Sayula
Earned his master (Cornell University) and bachelor (Rutgers University) degrees in electrical engineering. By nature an innovator and competitor in his professional & sporting activities. Twenty years experience in market data and trading systems.
Cristian Alzati, CTO, Sayula
Cristian has more than twenty years of software development experience in the financial industry. Before founding Sayula, he designed a server-based spreadsheet system that stayed more than 20 years in production at UBS. Cristian has Master’s and Engineer’s degrees from Stanford and a Master of Computational Finance from Carnegie Mellon.