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AI has many use cases and is a very broad area. AI has been used in finance since the rise of computers and the internet through automated systems. From trading to originating loans, AI is not new to finance. As LLMs have become the main focus over the last few years, there are a lot of wild predictions and fear of missing out. While LLMs and great at simple tasks and those with low risk, they are not actually thinking and need a lot of engineering around them to make them useful. They are also great at taking unstructured text data and images and turning them into structured data for more traditional methods such as math, logic, programming, statistics, and machine learning. I see there being a big lift in automating common tasks however the core of a business and where it has a competitive edge will continue to be done through non-AI methods. Don't get me wrong, implementing AI as a cost saving approach to common tasks can be an edge but it shouldn't be the main focus of your business.
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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 firms are locating here.
NanoConda
https://nanoconda.com/
Roman Bansal
https://www.linkedin.com/in/romanbansal/
Join the quant community in Dallas, Texas April 10th at SMU!
Quaint Quant Conference - 2026
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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.com/company/quant-insider/
Tribhuvan Bisen:
https://www.linkedin.com/in/tribhuvan-bisen/
Join the quant community in Dallas, Texas April 10th at SMU!
Quaint Quant Conference - 2026
Learn and network from a close knit quant community!
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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 sell macroeconomic forecasts, a utility based portfolio optimization tool, and an option pricing tool.
From the horse race tracks to trading and to the chase of an entrepreneurial journey, Fred Viole is changing Wall Street and the finance world as we know it.
OVVO Labs
https://www.ovvolabs.com/
Presentation, "Partial Moments in Quantitative Finance"
https://www.ovvolabs.com/media/
R NNS Package:
https://cran.r-project.org/web/packages/NNS/index.html
Video version:
https://youtu.be/DYDTD3_76VA
Join the quant community in Dallas, Texas April 10th at SMU!
Quaint Quant Conference - 2026
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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 academic program consulting and advisory services.
For opportunities contact me on LinkedIn:
https://www.linkedin.com/in/dimitri-bianco/
Join the quant community in Dallas, Texas April 10th at SMU!
Quaint Quant Conference - 2026
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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 space as he has a paid seminar on July 31st called, "Opportunities and Challenges in Leveraging AI for Financial Markets." The conversation is a fun discussion of the challenges of working in the finance world from a math and quant perspective.
Opportunities and Challenges in Leveraging AI for Financial Markets:
https://wallstreetscholars.com/seminar/b2310304-b22a-4622-8a47-1698b136b00f?rc=fq
Raphael Douady:
https://www.linkedin.com/in/raphael-douady/
Polymodels Textbook:
https://amzn.to/3IVuEJV
Join the quant community in Dallas, Texas April 10th at SMU!
Quaint Quant Conference - 2026
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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 and investing space. Learn more in this episode about Data Bento's focus on driving innovation instead of producing a low quality knock-off product.
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Quaint Quant Conference - 2026
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Welcome to Season 8 of Talking Tuesdays with Fancy Quant! This season I will bring in more guest speakers from the quantitative finance community to talk about data, business, math, stats, and their journey's through life.
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This is the presentation I gave at the Quaint Quant Conference 2025. The goal of the conference is to bring together more people to share ideas and collaborate. I touch on some of the main groups of people in the quantitative finance community and what each group can do to build a better community. The four groups are outsiders, academics, students, and practitioners.
Website:
https://www.FancyQuantNation.com
Discord:
https://discord.gg/8822pYKNrn
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As there has been some discussion around H1Bs and immigration, and a subscriber asked me to talk about it, here is my perspective.
A few high points:
- Immigration is a key part of America.
- Great people should be allowed to immigrate and not just whoever decides they want to come.
- The H1B system needs to match the number of people coming as well as a clear and simpler path to a green card.
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From the publisher's feed
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…

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