Why Investment Professionals Need Both Quant & Fundamental Skills with Ying Hua

There are more similarities between fundamental and quantitative investing than many investment professionals realize.

And understanding both, as well as how AI is bringing them closer together, could become a significant advantage for anyone building a career in investing.

In this episode of the Searching Smarter podcast, we're joined by Ying Hua, Founder and CEO of Implied, an AI-native equity investment research firm.

Ying has previously held investment roles at Goldman Sachs and Citadel, and shares her perspective on the future of investing, why technical skills matter (not just to quant investors), and how AI is impacting career paths for finance professionals.

If you're an investment professional looking to stay ahead or just want to understand how AI could impact the future of the industry, this is an episode you won't want to miss.

Covered in this episode:

0:00 – Intro0:48 – Fundamental vs. quantitative investing - the similarities and differences.2:41 – Where technical skills fit into the future of investing.5:00 – How AI is accelerating learning for both fundamental and quant investors.6:05 – The role of data in investment decision-making.10:17 – Inside an AI-native investment research process.14:14 – Why Ying made her investors learn to code and why fundamental investors should understand quant.21:49 – What junior candidates should be thinking about AI when pursuing investing careers.27:27 – Is AI helping or harming career opportunities in finance?

Be sure to subscribe to the Selby Jennings’ Searching Smarter podcast on your favorite podcast platform, so you never miss an episode.

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