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@maitreyaverma
Senior Quantitative Trader with expertise in algorithmic trading strategies.
I am a dedicated and results-driven Senior Quantitative Trader with a strong background in mechanical engineering and computer science. My journey began at the Indian Institute of Technology, Bombay, where I graduated with a Bachelor of Technology, achieving a CPI of 8.24. I have a proven track record in executing successful trading strategies, including short gamma and volatility curve trading, with impressive annualized returns and Sharpe ratios.
In my previous role as a Quant Research Analyst at Tara Capital Partners, I played a pivotal role in establishing the trading desk from the ground up. I designed and implemented strategies using C++ and Python, managing up to $3 million in capital deployment. My analytical skills were further honed at Morgan Stanley, where I revamped data processes and utilized machine learning for insightful analytics. I am passionate about leveraging technology to enhance trading performance and optimize capital allocation.
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Work history, roles, and key accomplishments
AlgoQuant
Apr 2024 - Present (1 year 7 months)
Executed the entire trading pipeline as an independent trader, covering research, backtesting, live trading, and post-trade analysis. Implemented short gamma and volatility curve trading strategies with significant annualized returns.
Tara Capital Partners
Oct 2021 - Jan 2024 (2 years 3 months)
Instrumental in establishing the trading desk, designing strategies and infrastructure using C++ and Python. Managed capital deployment and implemented portfolio optimization methods.
Morgan Stanley
Sep 2019 - Oct 2021 (2 years 1 month)
Worked in post-trade analytics, revamping batch jobs to improve efficiency and utilizing machine learning for data analysis in performance measurement.
Independent
Jan 2021 - Mar 2021 (2 months)
Developed a trading system for cryptocurrencies, including backtesting strategies and live trading using Binance API.
Goldman Sachs
May 2018 - Jul 2018 (2 months)
Automated the task of building ETL pipelines for financial data processing, proposing a new model and interface for pipeline construction.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Mechanical Engineering
2015 - 2019
Grade: CPI: 8.24
Activities and societies: Awarded a branch change based on first year academic performance at IIT Bombay, which is awarded to the top 10% of students.
Bachelor of Technology in Mechanical Engineering with a minor in Computer Science and Engineering. Achieved a CPI of 8.24 and ranked 729 in JEE.
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