Utsav Agarwal is a quantitative researcher and analyst with a background spanning financial markets, machine learning, and labor market intelligence. He has worked across quant analysis, AI research, and research consulting at a series of early-stage startups and specialist firms.

He currently works as an Associate Researcher at Sartre Group, where he runs end-to-end hiring pipelines for finance industry clients, delivers market intelligence and labor law advisory, and manages stakeholder relationships from brief through to close.

At Blockhouse, he analyzed a dataset of roughly 58,000 OTC bond trades and identified $4.2M in transition cost savings by optimizing trade size, market timing, and dealer selection across a three-month engagement.

At Notion Demand, he owned a full research-to-model sprint on retail inventory optimization, from literature review and industry selection through EDA, hypothesis testing, and a working hybrid neural network forecasting model.

At Indxx, he worked on portfolio optimization using CVaR and hierarchical risk parity models, building his quantitative finance foundation.