Devashish Mehta
QRD at HAP Capital- Claim this Profile
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Experience
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HAP Capital
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United States
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Investment Management
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1 - 100 Employee
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QRD
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Jun 2022 - Present
New York, United States
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Goldman Sachs
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United States
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Financial Services
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700 & Above Employee
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Associate
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Dec 2021 - May 2022
New York, United States
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Analyst
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Aug 2019 - Dec 2021
Greater New York City Area Equities Trading Platform Strats, GSET
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Trexquant Investment LP
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United States
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Investment Management
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1 - 100 Employee
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Global Alpha Researcher
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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
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Summer Analyst, Securities Division
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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
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Indian Institute of Technology, Kanpur
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India
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Higher Education
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700 & Above Employee
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Summer Researcher
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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 .
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Education
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Indian Institute of Technology, Kanpur
Bachelor of Technology, Computer Science -
FIITJEE
Mathematics,Physics and Chemistry, 97.6%