About

Ayush Gupta is a highly motivated Quantitative Researcher with a keen interest in Robotics and Artificial Intelligence. He is currently working as a Quantitative Research Analyst at JP Morgan in the Securitized Products Group. Ayush is responsible for developing tools and models analyzing the prepayment and default behaviors of borrowers in Non-Agency MBS modeling. He has a strong background in research and has been instrumental in developing multiple short-term trading strategies in the Indian Equity and FnO markets during his tenure as a Quantitative Research Intern at Stat Edge LLP. Ayush has also worked as a Machine Learning Researcher at Moja Global, where he created a novel algorithm for predicting pixel-level deforestation using spatio-temporal machine learning using satellite imagery. Ayush is a research scientist with relevant experience of 2.20 years. He has a Bachelor of Technology degree from the Indian Institute of Technology, Kanpur, which he completed in 2021. Ayush is proficient in a variety of technologies, including machine learning, and has a strong background in quantitative research. He is a highly skilled researcher who has developed software to price options and estimate Greeks through the Quantlib library. Ayush is an innovative thinker who is constantly looking for ways to improve his work and is always eager to learn new technologies. Ayush is a highly motivated and dedicated individual who has a passion for research and technology. He has a proven track record of success in his previous roles and has demonstrated his ability to work collaboratively with others to achieve common goals. Ayush is a valuable asset to any team and is always looking for new challenges and opportunities to grow and develop his skills.