UCLA Extension · Sep–Nov 2026

OLUWAFERANMI A. OMIDIRAN
Quantitative researcher. First author. Production-minded builder.
I investigate market questions through code, careful measurement, and explicit validation. My work spans volatility forecasting, systematic strategy testing, trading operations, production data systems, software engineering, and causal-inference research.
Research, trading, development, and model validation.
I am pursuing quantitative research, quantitative trading, and quantitative development opportunities, with additional fit across model validation, risk analytics, trading operations, market data, and research engineering.
Interested in quantitative teams across proprietary trading firms, hedge funds, asset managers, banks, and financial-technology companies.
RUTGERS UNIVERSITY–NEW BRUNSWICK
Mechanical Engineering + Quantitative Economics
B.S. Mechanical Engineering · Minor in Quantitative Economics · August 2024
Baruch College / QuantNet
Bloomberg
Harvard University via edX
Backtesting · Time series · Volatility forecasting · Model validation · RMSE · Sensitivity analysis · Regime analysis · P&L
Python · pandas · NumPy · SciPy · SQL · PostgreSQL · Excel · MATLAB · JupyterLab · ETL · Reconciliation
TypeScript · React · Node.js · Express · REST APIs · Git · GitHub · Bash · Drizzle ORM · Testing · Production monitoring
Research design · Evidence synthesis · Technical program leadership · Root-cause analysis · Data quality · Process controls
Quantitative research and production systems
Built the Equity Volatility Research Pipeline, Trading Operations Monitor, and JobX.OS production platform.
Data controls at scale
Built SQL and ETL workflows across five production systems supporting more than 60,000 accounts and 390+ resolved data-integrity exceptions.
Research leadership and experimental systems
Led multidisciplinary genomics research to a first-author Wiley publication and built embedded experimental data-acquisition tooling.
Engineering and quantitative foundation
Completed mechanical engineering and quantitative economics training with 3.84 GPA and Summa Cum Laude honors.
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