Devashish Mehta

QRD at HAP Capital
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Experience

    • United States
    • Investment Management
    • 1 - 100 Employee
    • QRD
      • Jun 2022 - Present

      New York, United States

    • United States
    • Financial Services
    • 700 & Above Employee
    • Associate
      • Dec 2021 - May 2022

      New York, United States

    • Analyst
      • Aug 2019 - Dec 2021

      Greater New York City Area Equities Trading Platform Strats, GSET

    • United States
    • Investment Management
    • 1 - 100 Employee
    • Global Alpha Researcher
      • Nov 2017 - Aug 2019

      Developed statistically-based medium-frequency equity strategies for algorithmic trading Used statistical/probabilistic methods to design trading signals (alphas) and filtering alphas from a pool of over a million alphas Used ML techniques and Markowitz MVO to assign weights to alphas for portfolio construction and optimisation Implemented many different ideas for the strategy to make it ready for live trading

    • Summer Analyst, Securities Division
      • May 2018 - Jul 2018

      Bengaluru Area, India Worked on the Electric Trading Platform to develop an end to end application for monitoring, admin overriding and viewing the trading phases of products evaluated using fids from market data (RMDS) Worked with network datastreams and the firms transport layer to send/receive data b/w applications Used latest frameworks/tools like Vert.x for the backend HTTP server and React.js for the frontend Improved the performance of the application by using multithreading to support… Show more Worked on the Electric Trading Platform to develop an end to end application for monitoring, admin overriding and viewing the trading phases of products evaluated using fids from market data (RMDS) Worked with network datastreams and the firms transport layer to send/receive data b/w applications Used latest frameworks/tools like Vert.x for the backend HTTP server and React.js for the frontend Improved the performance of the application by using multithreading to support very fast data updates Languages used: C++, Java, Python, JS and SLang Show less

    • India
    • Higher Education
    • 700 & Above Employee
    • Summer Researcher
      • May 2017 - Aug 2017

      India Worked on Deep Learning with Prof. Nisheeth Srivastava aiming to find how gestal visual priors are embedded in the state of the art deep learning models .

Education

  • Indian Institute of Technology, Kanpur
    Bachelor of Technology, Computer Science
    2015 - 2019
  • FIITJEE
    Mathematics,Physics and Chemistry, 97.6%
    2013 - 2015

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