Accessing, integrating, and sharing data is critical for quantitative researchers and quant trading teams. How teams collaborate with data underpins the ability to generate alpha, perform execution analyses, and provide a modern and differentiated client experience.
During this panel discussion with Hakkoda, Refinitiv and A-Team Insights, we will explore how banks transform their research and trading workflows by modernizing data collaboration capabilities.
You’ll also learn:
- Why firms need to improve data access, integration and collaboration for effective quantitative trading and research workflows
- The challenges presented by today’s legacy technologies and data silos and how financial organizations are solving for these issues
- How industry leaders are approaching their data architectures by leveraging native applications to access more data, power quantitative models and trade analyses, and enhance the overall experience of their end customers.
Speakers
-
James McGeehan
Head of Industry Banking and Capital Markets
Snowflake -
Anand Pandya
Global Head of Financial Services
Hakkoda -
Richard Goldman
Global Head of Strategy & Execution, Quantitative Analytics and Data Science Refinitiv,
a LSEG business -
Sarah Underwood
Moderator,
A-Team Group
