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!
Episodes
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....
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-bis...
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 th...
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:
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 Financi...
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...
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.
OVVO Labs is a proud sponsor of Talking Tuesday with Fancy Quant!
www.OVVOLabs.com
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.FancyQuantN...
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.
I brought Patrick Zoro from Lehigh University on the channel to discuss jobs, hiring, program rankings, networking, and just to catch up with him on a personal note.
Some interesting takeaways include how programs gather and report graduate income. For example, the data is self reported by the students and then self reported by the universities. Some universities have third partis that do the work to reduce o...
There is a lot of confusion on how admissions is done at quant finance masters programs in the US. Every program will do it differently however today I got the opportunity to learn about the admissions process from one of the top programs (Carnegie Mellon University). Emily Wertz is the director of Admissions and Recruiting at CMU's Masters of Science in Computational Finance program and has worked there for over...
An interview with valuations expert, David Shimko to discuss what he has been up to. He's teaching a quantitative focused financial valuations core course at NYU Tandon and he has been working on a new company called, Wall Street Scholars. Wall Street Scholars is a consulting, research and publishing organization, whose scholars are renowned for their expertise in applied finance and economics. Our distinguished ...
I had another great conversation with Agus Sudjianto around machine learning models, LLMs, risk management, model validation, and building culture. Agus recently retired from Wells Fargo and is now enjoying a variety of side projects including working at H2O.ai, teaching model validation at UNC, and I believe a few other projects which may come to light within the next year.
Website:
https://www.Fanc...
Zach Creighton is a quantitative finance recruiter and founder of Hemans. Hemans is a premier staffing and search agency with specialization in the Financial Services Corporate Governance sector. Zach talks about his journey into the career of recruiting, misconceptions about recruiters, sourcing talent, and tips for those looking for jobs in the quantitative finance space.
Zach's LinkedIn:
https://w...
I had a great time talking with Stan Uryasev and learning about his journey to quantitative finance. Stan is one of the authors of the original paper on Conditional Value at Risk (CVaR). CVaR is taught in almost every finance program and has had a large impact on the finance community. Stan is also a professor and endowed chair of Stony Brook's Quantitative Finance program which includes a Masters program and a P...
From 2020 until today (7/21/24), the economy has really come into the main conversation especially with inflation as bad as it has been. I bring on economist and personal friend C.R. Olschwang to discuss what is currently happening as well as some general economics around labor, supply, demand, consumption, and business.
A fun interview with Alexander Unterrainer on KDB and building careers in quantitative finance in London. I have heard a little about KDB over the years but have never used it. Today I sit down with Alexander to learn a bit more about it and how he has built a career on it. He has also been blogging for over a year on how to program in KDB+ which is also known as KDB or q.
KDB Learning Blog:
DefconQ
h...
Jonathon Emerick is an energy trader and quant who also has a YouTube channel (QuantPy). We discuss his journey coming from chemical engineering to quantitative finance which included a Masters of Financial Mathematics. Topics covered in our discussion range from energy markets to risk management to YouTube and day trading.
Jonathon Emerick:
https://www.linkedin.com/in/jonathon-emerick-407224119/
http...
Since I just turned 35 years old, I figured I would a podcast episode on the journey and the lessons I learned. It was a mixed bag of great years, some struggles, and now coming out the other side. Quantitative finance is a wild ride and never the same for any two professionals.
Reflecting on 30 Years: The Journey to Becoming a Quant
https://youtu.be/rGdfR66Dl4c?si=4A4hWtK8uP3KJQSB
As many of you know I work in a high paying field and rub shoulders with many wealthy people. That being said, I didn't grow up around Wall Street or any other high powered field. I was an average American who took an interest in quantitative finance and ended up falling in love with statistics and economics. I tend to understand people from a variety of backgrounds because I wasn't sheltered in one group. T...
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