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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