• Alpha research for equity feature forecasting• Returning full-time in Summer 2023

• Developed technical indicators for predicting 30 min and close-to-close single stock returns. Incorporated order book history, Barra factors, GICS, and short interest information.• Combined indicators into tradable model using tree boosting (e.g. CatBoost, LightGBM) methods. Model added value and had low correlation to team’s existing strategies.

• Oil options trader on a small team with shared responsibility for PnL and risk every day.• Made markets and trading decisions in real time, adjusted models to changing market conditions, actively monitored opportunities and risks, handled day-to-day operations.

• Researcher on product providing country and currency strategy exposure without derivatives.• Researcher on optimizing account rebalance schedules to reduce turnover and market impact.• Researcher on tax loss harvesting strategy that realizes capital gains on a tax-favorable schedule.

Rotated through options and commodities desks. Learned basics of financial markets and asset pricing. Shadowed traders and practiced mock trading.

Worked with David Laibson's behavioral economics research team.

Econ 1011a (Intermediate Microeconomics) and Math 19b (Linear Algebra)

Guided high school students in college application process and reviewed application materials.