Kick-Start Your Quant Career in 2025

Rajib Ranjan Borah

Co-Founder, iRage

Rajib Ranjan Borah is a leader in algorithmic and high-frequency trading and the co-founder and CEO of iRage, one of India's top trading firms specializing in options and futures. As an EPAT faculty member, Rajib shares his extensive expertise in options trading and system architecture, bridging theory with real-world application. With two decades of experience running trading desks worldwide, Rajib is also a visiting faculty at IIM Ahmedabad and IIT Bombay, and a speaker at international conferences. Rajib's passion for trading and teaching makes him a cornerstone of the EPAT experience, inspiring the next generation of algorithmic traders.

Richard Harrison

EPAT Alumni, Data Science Fellow, Springboard

Richard Harrison is a data scientist, quant trader, and EPAT alumnus with expertise in quantitative finance, data science, and machine learning. He has experience in options pricing, geospatial data analysis, and automated trading system development, focusing on building and optimizing algorithmic strategies. Richard uses Python, R, and SQL to solve data problems, drawing from his background as a Data Science Fellow at Springboard and a quant researcher. He has also worked on Springboard capstone projects like automatic music generation using deep learning. His diverse background, including industrial sales and strong communication skills, gives him a unique perspective in data science and trading.

Rohan Mathews

AVP - Global Business, QuantInsti

Rohan Mathews is the AVP of Global Business at QuantInsti, with extensive experience in international business development, lead generation, and channel sales. Passionate about leading teams and driving growth, Rohan has played a pivotal role in expanding the reach of the Executive Programme in Algorithmic Trading (EPAT). He holds an MBA in Marketing from the Institute of Technology and Management and a Bachelor's in Management Studies. Rohan's strong background in competitive research, client servicing, and team management has made him an effective leader in algorithmic trading education.