About

Rudransh Jaiswal is a Quant Strategist at Morgan Stanley, with a passion for quantitative finance, machine learning, and coding. He is currently pursuing a CFA L1 certification and holds a degree in Integrated Dual Degree in Mechanical Engineering and Data Science from IIT. With 0.43 years of relevant experience, Rudransh has worked with some of the top companies in the world, including Amazon and Trexquant Investment LP. At Amazon, he worked as an Applied Scientist, where he developed entity tagging (NLU) using semi-supervised techniques for Conversational AI systems in the International Machine Learning (IML) Team. At Trexquant Investment LP, he implemented statistical arbitrage strategies from white papers for trading equities in Global markets as a Global Alpha Researcher. Currently, Rudransh is an Associate at Morgan Stanley, where he works as a US Securitized Products (RMBS) Trading Desk Strategist in the Fixed Income Division. He is responsible for developing and implementing trading strategies using quantitative models and machine learning algorithms. Rudransh's tech stack includes Research Scientist, ML, NLU, and AI. He is a highly motivated individual who is constantly seeking new challenges and opportunities to learn and grow in his field. With his strong analytical skills and expertise in quantitative finance and machine learning, Rudransh is a valuable asset to any organization.