Armando Gonzalez

Armando Gonzalez is a technology entrepreneur and the CEO and Co-founder of RavenPack, the leading provider of big data analytics for financial institutions. At RavenPack, he oversees all product design and engineering of the company’s data products and analytical tools. Armando is a recognized expert in applied big data and artificial intelligence (AI) technologies. He is widely regarded as one of the most knowledgeable authorities on systematic data analysis in finance. 

Armando Gonzalez is a recognized speaker at academic and business conferences across the globe. Armando holds degrees in Economics and International Business Administration from the American University in Paris. As a thought leader, his commentary and research has appeared in leading business publications such as the Wall Street Journal, Financial Times, among many others.

As co-founder, Armando established RavenPack as a premier firm in sentiment analysis and natural language processing. A graduate of the American University of Paris, Armando started his career in finance and economics after venturing into market inefficiencies caused by information arbitrage. His research led to designing systems that turn textual news into data that can easily be consumed by quantitative models and trading programs. Armando is widely regarded as one of the most knowledgeable authorities on automated news and sentiment analysis. His commentary has appeared in leading business media such as the Wall Street Journal, Dow Jones Newswires, CNBC, The Trade News, among others. 

Armando is a recognized speaker at conferences on behavioral finance and algorithmic trading across the globe. Specialties: Financial technology, news analytics, sentiment analysis, machine-readable news, algorithmic trading, quantitative analysis, natural language processing (NLP), financial data feeds, team building, product development, business development, strategic planning, market sizing and analysis, competitive intelligence, fund raising, and project management.

Armando's research led to designing systems that turn textual news into data that can easily be consumed by quantitative models and trading programs.