The Blushing Quants Podcast
theblushingquantsThe Blushing Quants is a candid look at the intersection of quantitative finance and machine learning. We discuss the hard truths of building ML-based investment systems. What works, what fails, and why. We leave the LLMs to the chatbots and focus on the heavy hitters of quantitative finance: Neural Networks, Time Series Analysis, and Statistical Learning.
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| Publishes | Twice weekly | Episodes | 8 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyEducation | |||
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Latest Episodes
Episode 8 with Orlando explores where market models work and where they fail, especially in credit markets where pricing is less observable, and data is often dirty. We cover how to find edge through data cleaning, why end-of-day pricing can mislead ... more
Episode 7 features Matthias Bouquet, a quant who moved from a computer vision PhD into asset management, prop trading, banks, and hedge funds across Tokyo, London, and Singapore.
We cover why market ML is harder than vision, how overfitting shows up... more
In Episode 6, we host Meir Barak, a veteran day trader, author, and the founder and chairman of Tradenet, where he focuses on building structured training programs for traders worldwide. We discuss what his day-to-day work looks like, including turni... more
Marco Santanché, founder of Unbiased Alpha, joins the show to unpack what truly matters in quantitative research. We explore the key differences between institutional and retail trading, the real risks behind CFDs and leverage, and how quants turn va... more
A sit-down with Jared Broad, CEO of QuantConnect, to unpack how one platform turned quant research, backtesting, and live execution into an end-to-end workflow. Jared explains why QuantConnect went open source in an industry that usually keeps everyt... more
A focused conversation with Oren Tapiero, a quantitative researcher at Tidal, on how machine learning is truly used in live trading. The discussion covers why the research question matters more than the model itself, how to approach feature engineeri... more
Oz Pirvandy is a Tel Aviv-based systematic fund manager and the founder of Elevate Algo Fund. With a background across economics, political science, mathematics, and data science, Oz brings a research-driven approach to portfolio construction, shaped... more
Ryan Ling is a London-based systematic short-term interest rate (STIR) trader. Ryan studied Mathematics and Data Science, blending statistics and computer science, and has built his career across several parts of quantitative trading. He began in ban... more
Key Facts
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #178 |  Canada/Technology |
Apple Podcasts | #104 |  Russia/Technology |
Apple Podcasts | #118 |  South Africa/Technology |
Apple Podcasts | #212 |  Singapore/Technology |
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Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
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The Blushing Quants Podcast launched 2 months ago and published 8 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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