Who we are
We are RavenPack, a vibrant and multicultural team that enjoys solving real world problems with innovative technology.
What we do
We help organizations extract value and insights from large amounts of information - and we do it quickly and easily.
Our products allow clients to enhance returns, reduce risk and increase operational efficiency. Today, we 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 we are now expanding into new markets.
We are more than 120 team members, representing over 30 distinct nationalities, and we speak more than 24 different languages. While we’re all very different, we have one thing in common, a passion for advancing information technology and having a positive impact on our society.
Meet our leadership team
CEO and Co-Founder
Jason S. Cornez
Chief Technology Officer
Chief Operating Officer
Chief Product Officer
Chief Data Scientist
Director of Sales
Director of Finance
Director of Corporate Strategy
The Latest from RavenPack
Market Overreactions after Negative ESG News - A Global Phenomenon?
Ethical investing considerations are now so pronounced they are impacting on market structure, but how widespread is the phenomenon outside the U.S.? A recent study investigates.
RavenPack Indicator Warned of Latest UK Lockdown, Election News Eclipses COVID, RavenPack Data in Academic Studies
In this update, we focus on how our Coronavirus monitor is reflecting the hype around the U.S. Presidential Election, we revisit our lockdown indicator to see how well it would have forecasted the new lockdown in the UK, and we highlight some noteworthy academic studies from the rising tide of research making use of our Coronavirus data.
AI & Data Science in Trading: Using NLP to Forecast Market Movements
Watch RavenPack's SVP of Corporate Strategy, Aakarsh Ramchandani discuss deploying NLP models, text analytics and leveraging neural networks for quantitative market forecasting at the AI & Data Science in Trading webinar.