Quant • Markets • Research

Building research-driven tools for markets, risk, and decision-making.

I’m Rayner Lee — Quantitative Economics & Finance + MS Business Analytics. Here are selected projects across portfolio research, dashboards, and applied modeling.

Boston / NYC Python, R, Stata, SQL Time series, panel data, risk
SPX ▲ UST10Y BTC WTI EPU VOL
Rayner Lee Headshot

Projects

Selected work. Each card can link to a live demo, repo, or write-up.

EPU vs Risky Assets

Regressions across equities, commodities, crypto, and rates — with crisis regimes.

Time SeriesMacroPython
Case Study →

NYC Mobility Dashboard

Taxi/FHV/CitiBike/MTA data stitched with weather and energy variables.

DashboardsData EngPlotly
Live Demo →

Portfolio Optimization Lab

Constraints, drawdown controls, and ranking-based selection workflows.

QuantOptimizationRisk
Write-up →

Research

Working papers and short research notes.

Investor Adjustment After Monetary Policy Surprises

Behavioral response timing using high-frequency announcements and investor proxies.

PDF →

How Economic Policy Uncertainty (EPU) Affects Risky Asset Pricing and Volatility

An event study analysis into the relationship between EPU and asset returns, volatility, and risk premia.

PDF →

About

Short and finance-forward — what you do and how you think.

I’m a senior at Bentley pursuing Quantitative Economics & Finance, plus an MS in Business Analytics. I build research projects and models that connect macro signals to markets, with an emphasis on clarity, reproducibility, and decision usefulness.

More about me →

Contact

Email is best. Add your LinkedIn + GitHub for quick recruiter checks.

Email

raynerjlee@gmail.com

rjlee@falcon.bentley.edu

Feel Free to Reach Out!

Resume

Resume available to download.

Download →