Kshitij Rawat

At Share India Securities, I research and backtest systematic trading strategies across Indian equity and derivatives markets using Python. I also automate PnL attribution, risk monitoring, and post-trade analytics alongside quantitative researchers.

I build quantitative research tools, including statistical market-regime clustering from high-frequency data and a Monte Carlo engine for European option pricing calibrated on real market data. My work benchmarks clustering, storage, compression, query performance, and pricing accuracy.

Through 180 Degrees Consulting at VIT Chennai, I contribute market analysis, financial projections, business-model evaluation, and data-driven strategy recommendations. I’ve also architected a LangChain-based multi-agent RFP workflow for secure processing of banking documents.