Product Launch: RavenPack's New Self-Service Data & Visualization Platform - New York, March 21st

Andy Moniz is the Global Markets Chief Data Scientist at Deutsche Bank. Andy was previously a quantitative portfolio manager at UBS, responsible for long-short stock selection and macro strategies at UBS O’Connor and systematic Environmental Social and Governance (ESG) strategies at UBS Asset Management. Each of these strategies combined accounting signals with unstructured data. Prior to UBS, Andy was a senior quantitative portfolio manager at APG Asset Management where he was responsible for factor premia, text mining and ESG stock selection strategies. Andy began his career in 2000 as a macroeconomist at the Bank of England. Between 2003-2011, Andy worked in Quantitative Equities for various investment banks. Andy holds a BA and MA in Economics from the University of Cambridge, a MSc in Statistics from the University of London, and a PhD in Information Retrieval and Natural Language Processing from Erasmus University, The Netherlands.

Bogdan Ianev is a Director in Equity Derivatives Structuring at Credit Suisse, where over the past 7 years he has been responsible for pricing and product design of various equity and cross-asset exotic derivatives as well as systematic investment strategies. Prior to his current role, Mr. Ianev spend 3 years structuring corporate derivative solutions for insurers also at Credit Suisse. Before that, Mr. Ianev worked for Prudential Financial in the Structured Finance Group as well as in various actuarial areas. He holds a Master’s degree in Mathematics of Finance from Columbia University and a Bachelor's degree in mathematics from Wabash College. Mr. Ianev is a member of the Society of Actuaries and the American Academy of Actuaries. He is also certified Financial Risk Manager and a CFA charterholder.

Armando Gonzalez is President & CEO of RavenPack, the leading provider of real-time news and social media analysis. Armando is an expert in the field of text analytics and applied semantic technologies. He has designed systems that turn unstructured content into structured data, primarily for financial trading applications. Armando is widely regarded as one of the most knowledgeable authorities on automated text and sentiment analysis. His commentary and research has appeared in leading business publications such as the Wall Street Journal, Financial Times, CNBC, among many others. Armando holds degrees in Economics and International Business Administration from the American University in Paris and is a recognized speaker at academic and business conferences across the globe.