About

Kashish Malhotra is a highly skilled Quantitative Finance professional with a passion for building automated trading systems for high-frequency and mid-frequency trading. With over 3 years of experience in the industry, Kashish has worked in roles that are at the intersection of technology, statistics, and finance. He is currently working as a Quantitative Analyst - HFT & MFT at Ogha Research LLP, where he is responsible for backtesting system design, automation of data extraction and cleaning processes, positional strategy research, execution system design, and discretionary capital management. Kashish's technical skills include Python, MQL4/5, C++, NumPy, SciPy, and Pandas. He holds a professional certification in CQF and has a Master's degree in Economics and a Bachelor's degree in Electrical and Electronics Engineering from the Birla Institute of Technology and Science, Pilani. Prior to his current role, Kashish worked as a Quantitative Developer - Algorithmic Trading Infrastructure and Research at Rupeelog Financial Services, where he was responsible for backtesting system design, automation of data extraction and cleaning processes, positional strategy research, execution system design, and discretionary capital management. He has also worked as a Quantitative Researcher at Fingenesis, where he conducted technical analysis and price action-based trading strategy backtests in MetaTrader and developed Python scripts and automation tools for ad-hoc data analysis. Kashish's passion for technology and his expertise in the field make him a valuable asset to any organization. He is a research scientist with a strong proficiency in Python, Pandas, and infra. With his relevant experience and technical skills, he is well-equipped to take on any challenge in the field of quantitative finance.