RavenPack is vibrant and multicultural team that enjoys solving real world problems with innovative technology.
They help organizations extract value and insights from large amounts of information – and we do it quickly and easily.
Their products allow clients to enhance returns, reduce risk and increase operational efficiency. Today, they serve some of the most sophisticated banks, hedge funds, and organizations in the world.
Since 2003, RavenPack has been one of the leading data analytics providers in financial services and our journey continues as they are now expanding into new markets.
They have more than 120 team members, representing over 30 distinct nationalities, and we speak more than 24 different languages.
RavenPack News & Social Media Analytics: Allow clients to enhance returns, reduce risk and increase efficiency by systematically incorporating the effects of public information in their models or workflows.
RavenPack Text Analytics: text analysis as a service, turning clients content into a strategic asset.
ALPHA GENERATION AND RISK MANAGEMENT
Fundamental and Discretionary Investors seeking a more “quantamental” or data driven approach to investing and trading.
Research Analyst and Portfolio Managers sorting through the noise and identifying relevant signals from regulatory filings, broker research, transcripts, news, blogs, investor notes, etc.
Data Scientists and Quantitative Analysts incorporating structured data derived from unstructured content directly into investing and trading models.
Compliance Officers and Risk Managers eliminating false positives and getting alerted on relevant internal conversations. Providing proof of conversation for regulators.
Industry pioneer backed by proven research and reputable publishers.
Version controlled RavenPack data delivered through the RavenPack API, self-service data platform as well as visualization tools via the RavenPack platform
Founder: Armando Gonzalez
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.
Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.