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.
This summer, I am a Quantitative Research Summer Intern focused on fixed income at a boutique hedge fund. I am working closer to live rates and credit markets, where clean data, robust strategy design, and execution-aware research shape how signals become capital.
I am also building Exanomic, an alternative data platform for ingesting, normalizing, and evaluating nontraditional datasets for systematic research. The project is backed by a $30K pre-seed round from Afore Capital and is being piloted with sovereign wealth funds, single-family offices, and university research labs. More information is available at exanomic.com.
I will be at YC Startup School this summer and am happy to discuss Exanomic when given the opportunity.
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.