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Super Data Science: ML & AI Podcast with Jon Krohn

405: The Work of Quants and Data Scientists in the Financial Space

69 min • 30 september 2020

Thomas Obrist joins us to give an advanced talk on the work he does in the financial and energy space as a quant and how it overlaps with data science.


In this episode you will learn:

  • Thomas’s background and studies [5:04]
  • Long and short in financial markets [8:33]
  • Thomas’s current role at Axpo [14:55]
  • Quant vs. data scientist vs. data analyst [18:55]
  • The Monte Carlo method [26:26]
  • Thomas’s day-to-day [30:06]
  • Grid loss use case [35:25]
  • Thomas’s hackathon success [53:22]
  • Thomas’s recommendation for those interested in the space [1:01:39]


Additional materials: www.superdatascience.com/405

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