Georgi Kuzmanov
A graduate of Columbia University's MS in Financial Engineering program, Georgi leverages a rigorous quantitative foundation to navigate complex global markets. With over 13 years of experience in stock market analysis and professional trading, he has a proven track record of developing high-performance analytical strategies and risk management frameworks spanning the evolution of modern electronic trading.
Education
Columbia University — MS in Financial Engineering
August 2011 – January 2013 · GPA: 3.55 / 4.0
Columbia's MSFE is an intensive one-year, NYC-based program designed for quantitative trading and financial engineering. The curriculum covers stochastic calculus, options pricing theory, fixed income modeling, computational methods, and statistical arbitrage — providing the mathematical toolkit required for institutional-grade market analysis.
Activities & Involvement:
- Annual Trading Competitions
- Quantitative Challenges
- Industry Speaker Series
- Entrepreneurship, Leadership & Consulting
Core Competencies
- Quantitative Modeling: Financial modeling, Monte Carlo simulation, options pricing, factor models, statistical arbitrage strategies
- Equity Research: Bottom-up fundamental analysis, DCF valuation, earnings modeling, sector rotation frameworks
- Data Science & Machine Learning: Predictive analytics, sentiment analysis, natural language processing of financial data
- Risk Management: Portfolio construction, VaR frameworks, stress testing, tail-risk hedging
- Market Microstructure: Order flow analysis, liquidity dynamics, algorithmic execution strategies
Professional Experience
AlphaEdgeHub LLC — Senior Equity Analyst & Stock Strategist
January 2013 – Present · 13+ years
Since founding AlphaEdge, Georgi has published hundreds of in-depth equity research reports, market briefings, and sector analyses. His work combines quantitative screening with fundamental research, delivering actionable investment intelligence to a growing community of serious investors.