Yadnyeya Vairat
I build the whole stack behind a trading idea. Data pipeline, signal, pricing, execution, then the diagnostics that tell me whether any of it actually worked.
Newark, NJ
Rutgers Business School
Master of Quantitative Finance
Algorithmic Trading & Portfolio Management · Derivatives · Fixed Income · Econometrics · Quantitative Methods
Selected to represent Rutgers at the Rotman International Trading Competition (RITC), Toronto, Feb 2027
Chico, CA
California State University, Chico
B.S. Management Information Systems, Minor in Computer Science
That happened backwards. I did MIS with a CS minor at Chico State, not finance.
Markets came later: first my own book in 2021, then Senior Equity Analyst at Chico Creek Capital, a student-run fund where I covered names, pitched them, and ended up automating P&L and risk monitoring for a 40-stock book because doing it by hand was miserable.
Now I'm in the Rutgers MQF, and I'll be representing Rutgers at the Rotman International Trading Competition in Toronto this February.
Most of what I know came from building things that were allowed to fail. Of 40 futures spreads I researched, 8 survived multiple-testing correction and 3 were still profitable out of sample after costs. Most didn't work, which was the useful part.
Day job right now is AI/ML engineering at Vibe Logics, building Airflow pipelines and training models for conversion scoring and budget allocation. Different domain, same muscle.
A trading idea has five stages. I've built every one.
Most people specialize in a slice. I wanted to know where an edge actually dies, so I built each stage end to end and measured what the next one gave back.
Data
Ingestion across 9 providers, Airflow-orchestrated ETL, survivorship and liquidity filters.
Signal
Cointegration tests, Ornstein-Uhlenbeck half-lives, order-flow imbalance, microprice.
Pricing
Black-Scholes, binomial trees, Monte Carlo, implied-vol surfaces and the Greeks.
Execution
Limit order book simulation, inventory-aware quoting, broker-connected routing.
Diagnostics
Markouts, inventory variance, walk-forward validation, transaction costs and slippage.