Aditya Kaushal — AI Researcher

I am a Quantitative Researcher , utilizing machine learning and the latest technologies to develop innovative and industry-leading trading strategies. My journey in the financial markets spans over 3 years, marked by a strong foundation in data analytics and Python, which I initially applied at Perpetual Edge to craft and execute trading strategies based on implied volatility prediction models for the Indian markets. My role as a Quantitative Strategist at Perpetual Edge and a private company involved designing and testing mid-frequency strategies in the Indian derivatives market, where I combined historical data with advanced analytical techniques. This experience has equipped me with a deep understanding of market dynamics and the technical skills necessary to thrive in a fast-paced trading environment. Currently, I am enhancing my expertise through an MSc in Financial Engineering from WorldQuant University. This program is enriching my knowledge with cutting-edge tools and techniques in financial engineering and risk management, further fueling my passion for quantitative analysis and strategy development. I am driven by the challenge of solving complex problems and generating alpha in competitive markets. My creativity, curiosity, and strong communication skills enable me to excel in collaborative and innovative settings, where I can contribute significantly to the success of my team and organization.

Stackforce AI infers this person is a Quantitative Researcher in the Fintech industry, specializing in trading strategies and data analytics.

Location: Gurugram, Haryana, India

Experience: 4 yrs 1 mo