Quantitative Trading Intern
Current• Writing custom visualization tools using Pandas/SQL to analyze market microstructure• Developed efficient min-max optimization method in SQL to interpolate missing trades from intermittent market updates, match and compare with historical data, and label with predicted trade side• Predicting post-trade order flow imbalance using regression model on pre-trade price dislocation, exponential moving average volume, and other features from historical data• Implementing custom Python functions to vectorize computations that are not supported by Pandas or Numpy• Optimizing algorithmic trading strategy based on predictive model