Being selected for Susquehanna's Discovery Days program gave me the opportunity to explore an industry I've long been curious about: quantitative trading.
What I expected was a deeper understanding of finance and markets. What I didn't expect was just how much of the field revolves around curiosity, decision-making under uncertainty, and asking the right questions.
Some of my biggest takeaways:
• Quantitative trading is far more than mathematics and programming. It sits at the intersection of research, technology, strategy, and human judgment.
• Market data goes much deeper than price charts. Learning about trades, order books, matching engines, network infrastructure, and market microstructure gave me a new appreciation for the complexity behind every trade.
• AI is a powerful tool, but critical thinking remains indispensable. The ability to reason through uncertainty, challenge assumptions, and understand systems is what creates real value.
• Many concepts in trading extend beyond finance. Sessions on inflation, decision science, and strategic games highlighted how probabilistic thinking can be applied to a wide range of real-world problems.
One idea that particularly resonated with me was that the model is often the easy part. The harder challenge is defining the problem correctly, understanding the incentives involved, and determining which information actually matters.
Beyond the technical insights, I enjoyed connecting with talented students from across the country and learning from professionals who were incredibly generous with their knowledge and experiences.
Grateful to the Susquehanna team for organizing such an engaging program and providing students with a glimpse into the world of quantitative trading and market making.
Looking forward to continuing my journey into quantitative finance, technology, and decision science.
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