Nicolas Naing

Quantitative Engineer - Analyst at Goldman Sachs

Nicolas Naing is a Quantitative Engineer - Analyst at Goldman Sachs, responsible for maintaining pricing models and applications within the Asset Management Division since October 2021. Prior experience includes serving as a Student Research Assistant at Carnegie Mellon University, where research focused on optimizing asset allocation using MATLAB and Excel, and a similar role at The City College of New York, analyzing binary trees with Java. Nicolas Naing also contributed as a Research Intern in the Dr. Barnett and Jean Hollander Rich Mathematics Summer Internship program and coordinated the Soph-Frosh Division for the NYC Interscholastic Math League. Academic credentials include a Bachelor's degree in Mathematics from Carnegie Mellon University and a Bachelor's degree in Applied Mathematics from The City College of New York.

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