About

Deepak Yadav is a Quantitative Modeling Analyst at JP Morgan with 1.34 years of relevant experience. He specializes in Java and Python and has hands-on experience in Machine Learning, Deep Learning, and Computer Vision. Deepak is skilled in web development using React and is a Chess enthusiast. He is well-versed in Data Structures, Algorithms, Database Management, and Operating Systems. Deepak is always eager to learn and explore new ideas. In his current role at JP Morgan, Deepak is responsible for Model Risk Validation in CCR / XVA Trading. He has previously worked as a Quantitative Research Analyst in the same department, where he worked on the Model Review of Equity Forward, Future & Synthetic Asset Pricing Models, and the Implementation Testing of Commodity Swap Vanilla Pricer. He successfully automated the generation of Review Tables for Quarterly FnO deals, reducing the overall process timeline by 80%. Deepak also analyzed Equity Swap MtMs as a part of Backtesting Support and fixed a bug in the existing MtM Comparison script. Deepak has also worked as an FRC Technical Team Mentor at Dhirubhai Ambani International School, where he mentored the team for FIRST Robotics Challenge & FIRST Tech Challenge. Deepak holds a Bachelor of Technology degree in Information Technology from Bhartiya Vidya Bhavans, which he is expected to complete in 2022. He also holds a High School Diploma from Pace Junior Science College and a High School degree from Fatima High School. Deepak's tech stack includes Web, Computer Vision, Deep Learning, ML, Research Scientist, test, Python, and Java.