Data collected from mobile phones can be used to uncover underlying social network dynamics and individual's behavioral patterns. Based on a Call Details Records dataset, we build a weighted, directed network and analyze it's properties. In addition to node-level network measures we extract an extensive consumption and mobility-based feature set. We show that extracted network and consumption features can be used to model individual's risk profile.