Shashank Shankar
Interested In Quantitative Research
Hi, I'm Shashank.
My work centers on fixed-income quantitative research across three areas: alternative data, quantitative strategies, and high-frequency trading. I use market and nontraditional datasets to study term structure, relative value, microstructure, and signals that can be tested against latency, execution costs, and portfolio constraints.
Recent Thoughts
The AI-Native Hedge Fund
The next generation of quantitative funds will behave less like firms with static strategies and more like continuous learning systems built around data, models, and adaptive risk infrastructure.
What I Think The Future Of Startups Looks Like
The startup craze has reached its peak, with VCs eager to fund "AI this" or "AI that." But we're approaching startups the wrong way. The future lies in building platform-level products, not another AI tool.