Core Bio

I’m Fabian Bonilla, an Economics student at the University of Georgia, Terry College of Business, with a business analytics and quantitative finance emphasis (expected graduation: December 2026). I am based in Georgia and building my career around disciplined capital allocation.

I come from a Mexican-American immigrant family and carry a first-generation mindset: operate with urgency, learn quickly, and keep standards high. That mindset pushed me into entrepreneurship early, acquiring my first business through an SBA loan entrepreneurship early—acquiring my first business through an SBA loan, operating a café, and running a videography business with recurring weekly revenue.

In markets, I focus on risk-managed systems instead of prediction-based opinions. I have been building and backtesting systematic frameworks (including ORB breakout research), while developing technical fluency in R, Python, and SQL for data-driven decisions.

Long term, I am optimizing for three outcomes: elite systematic trading capability, ownership of high-quality cash-flowing businesses, and a durable capital platform that compounds over decades.

Skills

Quantitative & Analytical

  • Econometrics
  • Regression Modeling
  • Time Series Analysis
  • Causal Inference
  • Monte Carlo Simulation
  • Portfolio Risk Metrics
  • Sharpe / Sortino Analysis

Programming

  • R (tidyverse, backtesting workflows)
  • Python (APIs, pipelines, analytics tooling)
  • SQL (MySQL, relational databases)
  • Git & GitHub

Markets

  • Options Trading
  • Futures (NQ, SPY, QQQ)
  • Systematic Breakout Strategies
  • Risk-adjusted Performance Evaluation

Entrepreneurship

  • SBA Loan Structuring
  • Business Acquisition Analysis
  • Cash Flow Modeling
  • Operational Management

Professional Summary

I am focused on the intersection of quantitative economics, systematic strategy research, and practical financial decision-making. My work emphasizes rigorous testing, clear assumptions, and output that can be used for real decisions.

What I Work On

  • Empirical market strategy research (e.g., ORB in SPY).
  • Backtesting frameworks with risk and cost-aware evaluation.
  • Financial modeling for valuation and interest-rate risk decisions.
  • Entrepreneurship projects where analytics support operations.

Career Snapshot

Quantitative Research Development

Building research-first workflows in R for intraday strategy testing and robustness analysis.

Financial Modeling Track

Designing practical models for valuation, scenario planning, and rate-risk interpretation.

Entrepreneurial Operations

Applying finance and analytics to pricing, growth, and resource allocation decisions.

Philosophy

  • Markets reward discipline, not emotion.
  • Risk management > prediction.
  • Consistency > intensity.
  • Capital compounds when ego is removed.
  • Systems beat impulses.

Closing

I am not interested in short-term wins. I am interested in building systems that compound for decades.