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
Om Podcasten
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.
Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.
We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.