
Talking Tuesdays with Fancy Quant
The Talking Tuesdays Podcast is all about quantitative topics but mainly focused around quantitative finance, data science, machine learning, career development, and technical topics. Join me for some insight from a risk management professional on how the industry works and how to break in!
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Send us a text Roman Bansal is the founder of NanoConda. We discuss growing up in Russia, the joy of reading books, and how NanoConda can help you set up software, API, hardware, and colocation for HFT (high frequency trading) for smaller firms. We also discuss why Dallas, Texas is growing in the quant space as many fi
Send us a text Tribhuvan Bisen is a co-founder of Quant Insider. We learn about his journey from his education to working at Deutsche and then starting Quant Insider. We also discuss the quant job and education market in India and what it takes to be a quant. Quant Insider: https://quantinsider.io/ https://www.linkedin
Send us a text Fred Viole is the founder of OVVO Labs and has been putting together a complete statistical framework using partial moments and nonlinear and nonparametric statistics (NNS). He also has an R package which is free called, NNS. The application of NNS to finance is proprietary and what OVVO Labs uses to sel
Send us a text Project Phoenix is me re-organizing my life. I got an offer to be a CRO and instead of taking it, I quit my job, sold my honeybees, and decided to run a half marathon. I started my own business called, "Fancy Quant LLC" where I will consult in quant research, risk management, career development, and acad
Send us a text Raphael Douady is a French mathematician who works in both academia as well as quantitative finance. His specialization is in chaos theory and financial mathematics. In this interview he shares how he got into mathematics and why he left for quantitative finance. We also briefly discuss AI in the finance
Send us a text I sit down with Data Bento"s CEO, Christina Qi to discuss how she started Data Bento and why their product of providing data is the best. It turns out there are a lot of features that firms want such as how data is structured, cleaned, and transferred which make a big difference especially in the finance