Florencia Grinblat

I'm an independent consultant at MRM Analytics, providing risk, model-validation, and data-analytics support to U.S. and regional financial institutions. I build Python/Pandas controls that recalculate model outputs, reconcile production results, identify anomalies, and quantify discrepancies.

Previously at CRISIL (S&P Global), I developed and validated quantitative risk models for a major U.S. financial institution across counterparty credit risk, derivatives, and financial engineering. I built tools for simulation, benchmarking, calibration assessment, statistical testing, sensitivity analysis, and implementation validation.

I also develop scientific-computing tools for aerospace and radar programs at INVAP S.E. My PhD in Engineering and background in physics support rigorous, reproducible analysis across financial risk and high-reliability engineering.