Financial models don’t only need vast data - they also need deep past data to test historic scenarios. Learn how to derive quality insights with a smarter workflow so you can focus your time on formulating strategies instead of getting data ready for analysis.
The combination of Refinitiv managed service database and GCP’s managed compute cluster allows for customers to work across large datasets remotely and in a fraction of the time that they would typically experience.
You will learn:
Catalina Vazquez heads up the Historical Data business globally. As Proposition Director, she leads the strategy and execution for Refinitiv market leading Tick History offering that enables customers to access and extract insight from Refinitiv vast historical data archive .Most recently she focused on leading the commercialization strategy and go-to-market roll out of Refinitiv Enterprise offerings in the analytics and historical data space.
Rochak Lamba is an industry architect for capital markets at Google with a background in engineering and studied quantitative finance at London Business School. He has been in the industry for over 15 years and aware of the pain-points that firms face when trying to innovate. Refinitiv's tick history product operates on Google Cloud's BigQuery which provides scale and increases the usability of this rich data set. Rochak is focussed on helping firms get the most out of Google Cloud products (e.g. BigQuery) and scale up to develop next-generation solutions.
Rakesh Singh is a data and value driven Product Manager with a track record of successfully leading Timeseries products at Refinitiv. He is currently spearheading the delivery of managed tick data services in Google Cloud. Prior to managing products, he was the functional lead of specialist team that successfully upgraded over 500 global accounts from legacy on-prem to a strategic hybrid-cloud tick history platform. He has 13 years of experience in the Financial Services industry, is an avid Yoga practitioner and a nature lover.
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