In this episode of From Wall Street to Main Street, we explore quantitative investing with Joao Zimermann, a quantitative investor who left NASDAQ to focus full-time on the financial models he had been building since university.We walk through his career journey, from studying economics and finance to launching and selling a startup, working in securities lending, completing a master’s in financial engineering, and gaining market intelligence experience at NASDAQ, highlighting why the operational side of finance matters more than most people think.The episode breaks down what quantitative investing really is, how data is collected, cleaned, automated, and transformed into models that generate signals, rankings, and portfolio decisions. We also discuss the difference between long-term investing and trading for revenue, the role of emotion in markets, and why risk management and tracking error matter more than short-term performance.We then explore market behavior and structure, including inefficiencies, retail investor influence, social media, and a clear explanation of the GameStop short squeeze. Finally, we look at AI in quantitative finance, qualitative data like earnings calls and geopolitics, and practical advice for students who want to start building quant skills today.Chapters are included to help you navigate the discussion.Enjoy the episode 😉👉 Don’t forget to like, comment, and subscribe to support the podcast!And, VERY IMPORTANT, if you want to be asking questions to our future guests, follow us on instagram to submit your questions!🔗 Follow From Wall Street to Main Street📺 YouTube : https://www.youtube.com/@FromWallStreettoMainStreet🎧 Spotify : https://open.spotify.com/show/FromWallStreettoMainStreet🎧 Apple Podcast : https://podcasts.apple.com/ca/podcast/from-wall-street-to-main-street/id1841397331📸 Instagram : https://www.instagram.com/wallstreet.mainstreet💼 LinkedIn : https://www.linkedin.com/company/from-wall-street-to-main-street🎵 TikTok : https://www.tiktok.com/@wall.st.to.main.stChapters :00:00 Trailer of the episode00:45 Intro + Meet the Guest01:19 What Is Quantitative Investing? (Explained Simply)04:10 His Story: Economics, Finance, and Building a Startup10:33 First Steps in Capital Markets (CIBC + “Behind the Scenes” Finance)12:44 Master’s + NASDAQ: From School to Market Intelligence15:22 Going Full-Time: Building a Model That Pays Like a Salary21:09 Investing vs Trading + Managing Emotion with Data25:42 Income Strategies Explained (Covered Calls & Trade-Offs)28:20 How Financial Models Work (Data → Signals → Decisions)38:27 Using Qualitative Info (Earnings Calls, Sentiment, AI)46:33 Portfolio Management: Risk, Time Horizon, and Client Fit57:16 Market Neutrality + Avoiding Overfitting (Simple Explanations)1:16:51 When Markets Get Irrational (FOMO, Efficiency, Behavior)1:20:16 GameStop Explained + What It Changed (Retail, Social Media)1:28:13 The Future: AI in Quant Finance + Advice for Students1:37:09 Final Takeaways + Outro