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