Monty Essid

Algorithm Developer at Hudson River Trading

Monty Essid has extensive experience in algorithm development and quantitative research. Currently serving as an Algorithm Developer at Hudson River Trading, Monty has also contributed to academia as an Adjunct Instructor at the Courant Institute of Mathematical Sciences and as Adjunct Faculty at NYU Tandon School of Engineering. Prior to these roles, Monty worked as a Quantitative Researcher at Morgan Stanley, showcasing a strong foundation in both practical and theoretical aspects of mathematics and engineering.

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