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Seattle, WA
December 10–13, 2018
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Wednesday, December 12 • 2:35pm - 3:10pm
Automating Research Workflows at BlackRock - Matthew Magaldi & Vaibhav Page, BlackRock

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BlackRock’s Data Science Platform enables investors and users across the firm to access a wealth of financial data using research models. Event-based workflows play an integral role in data driven modeling. In this presentation, the speakers will give an overview of BlackRock’s Data Science Platform, talk about the transition from vanilla Kubernetes Cron jobs to more complex sensor-driven research workflows. They will discuss how these workflows powered by Argo Events, an open source event-based dependency manager for Kubernetes, form a core component of the platform. They will also review the challenges of building automated financial models and look forward to the class of problems this framework solves.

Speakers
avatar for Matthew Magaldi

Matthew Magaldi

Analyst, BlackRock
Matt Magaldi is an Analyst at BlackRock working on the Aladdin Wealth platform. Despite being relatively new to the open-source community, Matt leads the Argo Events project. Matt graduated from Cornell University in 2016 with a Bachelor of Science in Electrical and Computer Engi... Read More →
VP

Vaibhav Page

Analyst, BlackRock
Vaibhav Page is an Analyst at BlackRock working on the Data Science platform. He primarily works on building out the cloud native scheduler for event-driven workflows. Along with Matt, Vaibhav created Argo Events.



Wednesday December 12, 2018 2:35pm - 3:10pm
611-614
  • Skill Level Any