PhD in Economics · 15+ years quantitative research · Mexico-based, US-remote-oriented
Quantitative researcher at the intersection of options pricing, fixed income, and macro factor analysis. I build production-grade Python systems that move noisy market data through well-defined statistical pipelines into trade-ready signals. Sharpe single-index models for sector-relative alpha, Breeden-Litzenberger risk-neutral densities from live option chains, VAR cointegration of macro shocks against sector returns: same mathematical backbone, different surfaces.
About
I am a PhD economist from Universidad de Guadalajara (2019). My dissertation, The Inverted Yield Curve and Its Effects on Capital Markets: A Spectral Analysis of a VAR Cointegration Model by S&P Sector, applied frequency-domain spectral decomposition of macro shocks combined with vector autoregression cointegration to recover the long-run causal structure between macro and sector-level returns.
From 2004 to 2012 I owned real-time market data infrastructure at Thomson Reuters Latin America, covering more than three thousand five hundred instruments across equities, sovereign bonds, FX, and macro indicators, with throughput of tens to hundreds of millions of daily tick events under uptime above 99.9 percent. Eleven months in 2009 I was embedded with the Reuters fixed-income analytics team in New York during the post-Lehman crisis.
From March 2020 to December 2025 I was full-time professor of finance at Universidad Panamericana School of Business, teaching Risk Management, Derivatives, and Quantitative Finance across three campuses.
Across that period I have run a personal equity options book of more than USD 5 million AUM for over twelve years using systematic premium-selling discipline across SPX, QQQ, GLD, and single names. I hold the Mexican AMIB Figura 3 derivatives license and the tastytrade Options & Derivatives certificate.
Since concluding the professorship in December 2025, I have been building open-source production stack at the intersection of derivatives pricing, factor analysis, and AI-assisted analytics.
Open source · 2026
FastAPI service that consumes live equity option chains from tastytrade and recovers the full risk-neutral probability density of the underlying via Breeden-Litzenberger second-derivative extraction, regularized with PCHIP and forward-corrected to put-call parity.
Python · FastAPI · async SQLAlchemy · Render
Multi-tab Streamlit workspace backed by a FastAPI service. Over twenty Financial Modeling Prep adapters cover fundamentals, options analytics, peers, and analyst data across U.S. equities. Anthropic Claude streaming for natural-language narrative synthesis. Used in production research and as a graduate teaching platform.
Python · Streamlit · FastAPI · Anthropic Claude · FMP
Sector-relative alpha and factor analysis framework. Single-index OLS of single-name returns against iShares sector ETF benchmarks, with an above-sector-mean filter and an Alpha vs Risk scatter. Production-grade companion to the doctoral dissertation.
Python · NumPy · Pandas · statsmodels · matplotlib · yfinance
Contact
Quantitative research, options pricing, risk modeling, AI-agent applications. Mexico-based with a U.S. LLC ready for contractor onboarding.