Today's finance industry is continuously searching for alpha, through more advanced modeling and through alternative sources of data. Many alternative sources of data are not raw numerical data but natural documents - human-readable documents containing tables, graphics and text. In this talk, I will present an overview of how we use NLP at Bloomberg to extract information from natural documents, and highlight some research challenges. I also present a case study of how such information can be combined with market data for better predictive modeling.