Rekhit Pachnekar

About the Faculty

Rekhit Pachanekar is Sr. Quant Associate, QuantInsti, he leads the creation of interactive, self-paced courses on algorithmic trading and machine learning. His work has been instrumental in helping learners around the world gain hands-on skills in momentum trading, mean reversion strategies, statistical arbitrage, and more.

Rekhit’s academic credentials include a PGDM from IIM Indore and a degree in Computer Engineering. He is also the co-author of the book "Machine Learning for Trading," available on Amazon. He has collaborated with industry experts to co-create several popular courses at QuantInsti.

Rekhit has delivered sessions at institutions such as École Polytechnique, HEC Paris, IIT Bombay, IIT Kanpur, BML Munjal University, and Dr Homi Bhabha State University. He has also conducted corporate training for Philip Capital and contributed to global platforms like Wall Street Horizon and The Quant/Financial Engineering Podcast by Lehigh University.

Outside of his professional work, Rekhit is passionate about understanding market anomalies and closely follows Tesla Inc. for its disruptive approach. His unique mix of financial acumen, technical depth, and instructional experience makes him a valuable mentor for those pursuing a career in algorithmic trading.