Many asset management firms struggle to scale their data science efforts due to fragmented data. Data scientists spend huge amounts of time preparing and wrangling data across different systems—creating huge data and compute bottlenecks. 

In this live demo, we show how different data roles in an asset management firm, including the global head of trading, data engineering, data science, and business analytics, can all leverage the Snowflake Financial Services Data Cloud to:

  • Generate more alpha
  • Develop new investment products
  • Implement new investment strategies faster
  • Shireen Irani

    Strategic Client Executive, Snowflake

  • Allen Wong

    Senior Sales Engineer, Snowflake

  • Michael Stead

    Sales Engineer, Snowflake

  • Aswinee Rath

    Senior Sales Engineer, Snowflake

  • John Scrivener

    Senior Sales Engineer, Snowflake