Mo Minoneshan
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Curriculum Vitae
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Education
M.S. Financial Engineering
Columbia University
Graduate
B.S. Mathematics
University of Texas at Austin
Undergraduate
Experience
Quantitative Research (Industry Project)
RBC Capital Markets
2026
AI Investment Strategies (Industry Project)
Lockwood Analytics
2026
Macro / ESG Research
Salem Center, UT Austin
Research
Product Management Analyst Intern
USAA
Internship
Technical Skills
Languages:
Python, C++, SQL, R, MATLAB
Quant & ML:
NumPy, pandas, SciPy, PyTorch, scikit-learn, statsmodels
Risk & Pricing:
VaR/ES, EVT, copulas, Monte Carlo, scenario generation, covariance estimation
Tooling:
Streamlit, Git, Docker, OpenMP, Bloomberg
Selected Projects
Hypothetical Stress Scenario Engine
— conditional cross-asset scenario generation.
Copula-Tail VaR Engine
— EVT + t-copula tail risk for multi-asset portfolios.
Monte Carlo Option Pricer
— high-performance C++ pricing with OpenMP.