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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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, whos
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 oth
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 t
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 endo
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 busines
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