AG

Arkin Gupta

Vice President at Morgan Stanley

New York City Metropolitan Area

Overview 

Arkin Gupta is currently the Vice President at Morgan Stanley in New York City, where he specializes in machine learning, quantitative research, and data analysis. With a background that includes roles at prestigious institutions like BlackRock and Cubist Systematic Strategies, Gupta has demonstrated expertise in areas such as natural language processing, predictive modeling, and pattern recognition, making significant contributions to the fields of fixed income and equities.

Work Experience 

MS

Morgan Stanley

  • Vice President

    2024 - Current

    Central Risk Book - Quantitative portfolio management

  • Associate

    2022 - 2024

    Central Risk Book - Quantitative research and trading

Morgan Stanley Venture Partners is a private equity firm that invests in high-growth companies in the technology and healthcare industries.

morganstanley.com
CS

Cubist Systematic Strategies

  • Quantitative Researcher

    2020 - 2022

    Alpha research and risk modeling for mid-frequency equity statistical arbitrage strategies.

B

BlackRock

  • Quantitative Researcher

    2019 - 2020

    Event-driven equity alpha strategies, liquidity research for index rebalances.

information contained on the LifePath Paycheck website is intended

blackrock.com
Uo

University of California, San Diego - Jacobs School of Engineering

  • Research Assistant

    2017 - 2019

    Built neurobiological ML models at the mathematical neuroscience lab: http://silva.ucsd.edu

US

UC San Diego Computer Science and Engineering Department (CSE)

  • Teaching Assistant

    2017 - 2019

    CSE 105 - Theory of Computation CSE 12 - Data Structures and Algorithms CSE 11 - Object-Oriented Programming

B

BlackRock

  • Quantitative Developer Intern

    2018 - 2018

    Built statistical models to model intraday NAV prices of ETFs with foreign exposure.

information contained on the LifePath Paycheck website is intended

blackrock.com
B

BD

  • Data Science Intern

    2017 - 2017

    Built machine learning models to predict drug prices, and supply-demand dynamics.

A segment of leading global medical technology company BD

bd.com

Education 

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