Abhijit Biswas, Founder Director, Indian Institute of Quantitative Finance

Abhijit Biswas has more than 22 years of experience as a Quant professional in research and development and teaching in the field of Financial Engineering, Financial Risk Management and Algorithmic Trading software products and systems using Machine Learning.

As a Quant professional, he has created numerous breakthroughs in Risk Modelling technology in India. He co-developed India’s first and principal Multi-Factor Risk Model for the Equity market, and India’s first and only one of a kind Multi-Factor Risk Model for the Fixed Income markets. He had also developed in 2002 India’s first commercial grade large scale Monte Carlo Simulation system for business analytics using Excel spreadsheet models. The risk management software products developed by him were used by major global and Indian financial institutions like HSBC AMC, SBI AMC, MIRAE AMC, amongst others.

He is the founding Director of Indian Institute of Quantitative Finance, started in 2008, India’s pioneering educational institution in the field of Financial Engineering, Financial Risk Management and Investment Banking. He was the co-founder and the Head of Product Development at Risk Infotech Solutions Pvt. Ltd., started in 2000, India’s pioneering software product company in Portfolio Risk Management Software Products which catered to major global financial institutions. He is also Vice President and the Head of Financial Technologies at HPC Links Pvt. Ltd., where he leads the development of Quantitative Finance solutions and services using High Performance Parallel Computing technologies in Algorithmic Trading, Risk Analytics, etc. He was also consultant to financial institutions for Volatility Trading systems.

He was also industry member of the Board of Studies of Mumbai University, entrusted with the task of improving the MMS (Finance) program to make it more industry ready. He designed the structure and syllabus of new Master Degree in Quantitative Finance and diploma in financial risk management.