Sarthak Vishnoi — Product Manager

I am an incoming MSCF candidate at Carnegie Mellon University with 2 years of work experience in the domain of quantitative finance as a high frequency trader at Quadeye Securities trading in stock options at NSE. Proficiency in object oriented languages like C++ and Java along with expertise in scripting languages like R and Python make me suitable for a role in quantitative finance. I completed my undergraduate degree from Indian Institute of Technology Delhi in 2020 with a major in Computer Science and a minor in Economics after securing an all India rank of 97 in JEE Advanced. I am interested in the topics like Algorithmic Trading, Big Data Analysis, Quantitative Investing, and Trading, mainly those which lie at the intersection of Computer Science, Finance, and Economics. I aspire to become a quantitative researcher and trader at a top-level firm leveraging my skills in programming, math, statistics, and finance to generate new and profitable ideas in different markets. My experience with dealing with big data to capture different alphas makes me confident about my career as a quantitative trader. I aim to leverage the concepts of Machine Learning, Artificial Intelligence, Big Data, Natural Language Processing, and Econometrics in my trading algorithms to generate superior PnL at a higher sharpe. When I am not developing strategies and algorithms, I engage myself in quizzing and have won the national level CBSE Heritage Quiz in 2013. Kindly contact me at svishnoi@andrew.cmu.edu or reach out to me at LinkedIn.

Stackforce AI infers this person is a Quantitative Finance professional with strong programming and analytical skills.

Experience: 5 yrs 10 mos