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Joel Pang

Quant Research - Algorithmic Trading
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Joel Pang

Quant Research - Algorithmic Trading
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Meet Joel Pang, an accomplished quantitative research professional with expertise in algo development and systematic trading strategies. With extensive experience in trading FX, options, futures, and equities, Joel has completed the CFA L3 exam and holds a Master of Science in Quantitative Finance from Singapore Management University and Cass Business School.

Joel's educational background includes a diploma in economics and a bachelor's degree in banking and finance, both with distinction or first-class honors. He also studied Finance as a summer school module at The London School of Economics and Political Science, where he earned an A+ grade.

In his previous roles, Joel worked as a senior analyst in FX Operations at Bank of America Merrill Lynch and a derivatives trader at JDI Pte Ltd. Currently, he is a Quantitative Analyst at Grasshopper, where he applies his programming skills in Python, MATLAB, and BigQuery SQL to develop trading strategies and backtest new ideas.

Joel Pang is an experienced professional with a solid background in finance, programming, and quantitative research. His expertise in algo development, systematic trading strategies, and trading experience in multiple asset classes makes him a valuable addition to any team.

This public profile is provided courtesy of Clay. All information found here is in the public domain.
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