DEPARTMENT SEMINAR
Date: 30th Apr 2026
Time: 02:00PM
VENUE:
Seminar Hall [DOMS]
Speaker:
Mr. Abhirakshit Singh
Lead Gemini Technical Solutions
Title: “Factor Investing and Asset Allocation: Modern Frameworks for Portfolio Implementation”
Brief Bio:
Mr. Abhirakshit Singh is an alumnus of the Indian Institute of Technology (IIT) Kanpur, where he completed his Master of Science in Mathematics and his Bachelor of Technology in Materials Science and Engineering. He is a specialist in financial engineering and quantitative research, with a deep expertise in applying advanced mathematical frameworks to market dynamics.
Currently, he serves as the Technical Solutions Lead at Gemini Solutions, where he works closely with the PIMCO Financial Engineering team. Prior to his current role, he held key positions at HSBC as a Senior Analyst, where he spent over three years driving analytical insights. A CQF (Certificate in Quantitative Finance) holder and a technical writer, he is dedicated to bridging the gap between complex mathematical theory and practical financial applications.
ABSTRACT:
The global asset management landscape is undergoing a significant paradigm shift, moving beyond traditional diversification toward factor-based investing. As institutional portfolios face increasing complexity, the ability to decompose returns into underlying risk factors – such as value, momentum, and quality – has become a cornerstone of modern financial engineering.
Leading global investment firms like PIMCO are at the forefront of this evolution, utilizing sophisticated quantitative models to bridge the gap between macroeconomic signals and portfolio implementation. With the rapid rise of data-driven finance, the integration of empirical research and systematic strategies is reshaping how capital is allocated across diverse market cycles. This session will provide a practitioner’s insight into navigating these frameworks to deliver scalable, outcome-driven investment solutions in an increasingly volatile market environment.
ALL ARE WELCOME