About this episode

The episode discusses how machine learning is transforming equity research and the skills analysts should develop in this evolving landscape.

Equity research isn’t just spreadsheets and models. Paul Schneider speaks with Tommaso Aquilante and Jamie Dorricott from UBS’s Empirical Scientific Approaches team about how parameters, prompts, and the scientific method are changing what “good analysis” really looks like - and what skills aspiring analysts should focus on, in a machine‑assisted world. *(This information is subject to a disclaimer at the end of this podcast. Please ensure that you listen to the disclaimer and go to www.ubs.com for further information about UBS).

People in this episode

Host: Paul Schneider

Guests: Tommaso Aquilante, Jamie Dorricott

Topics covered

• machine learning
• equity research
• data analysis
• analyst skills
• scientific method

Mentioned in this episode

Organizations: UBS, UBS’s Empirical Scientific Approaches team

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