- Backtested and optimized algorithmic trading strategies to maximize PnL per trade and total PnL- Researched new trading ideas and parameters to existing strategies in Python, focusing on mean reversion- Wrote code in Python which enabled the team to backtest exclusively during periods of economic news releases- Managed and directed projects for new developer on team, while teaching him foundations of trading

- Developed a framework in Python to measure risks of dislocations between natural gas futures- Researched potential risks as we entered the semiconductor market & presented findings to upper management- Spent 4 months in Amsterdam office piloting overnight monitoring of US positions while also learning Amsterdam’s risk systems and trading style- Built framework in Python to measure PnL impact of 15 historical scenarios over multiple holding periods- Identified gap in our evaluation process for increasing trader’s automated trading risk limits and worked with data team to rebuild app scraper that collected automated trading risk limit usage data- Designed and ran the technical interview test for final round candidates and as well as initial phone screens- Monitored trader’s positions throughout the day using proprietary tooling and Python notebooks, periodically reaching out to better understand the rationale behind certain positions or highlighting potential risks- Constructed framework around limiting potential risks from Corporate Actions- Created multiple reports in Python that were sent out globally on a daily basis- Replicated clearing models in Python to measure limits for regulatory and margin requirements

- Analyze patterns in mortgage cash flows to facilitate automated identification of errors - Automated Daily and Weekly spreadsheets using VBA to save time and eliminate human error

Pulled data from SAS to test model assumptions Worked with PHD Statisticians on understanding and documenting models

Forecasting and Budgeting Spending Accounts

Bank statement reconciliation for various medical practices.