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

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