This is a profile image of Arvind Govindarajan

Arvind Govindarajan

PartnerBoston

Focuses on global economic trends, productivity, and risk management, and brings deep expertise in scenario design and modeling across industries.

Arvind is a global leader in studying impacts on the macroeconomy under several crises, including the impacts of the COVID-19 crisis, Russia’s invasion of Ukraine, and recent inflation and elevated interest rates. He has focused on understanding the changes in global asset valuations relative to productivity as part of the McKinsey Global Institute’s global balance sheets research series.

Arvind previously was a leader in McKinsey’s Risk & Resilience practice and served a range of financial and non-financial institutions (e.g., banks, asset managers, oil, gas, and chemical producers, pharmaceutical makers, industrials, and utilities). In addition to scenario work, he helped clients use those scenarios and subsequent analytics to better manage their balance sheet, portfolio, and P&L. He also co-led McKinsey’s capital and balance sheet management service line and the credit service line (within the Risk & Resilience Practice) in the Americas.

Arvind is a board member of the Singala Institute, a mental health care nonprofit. Prior to joining McKinsey, he was a neuroscientist at the Massachusetts Institute of Technology, where he was the Assistant Director at the RIKEN-MIT-Picower Center for Neural Circuit Genetics. Arvind has a PhD from the Massachusetts Institute of Technology in Biology and a Bachelor of Science degree from the University of Toronto in chemistry, biochemistry, and computer science.

Published work

The future of risk: How global trends are reshaping risk management,” McKinsey & Company, December 2025

Out of balance: What’s next for growth, wealth, and debt?, McKinsey Global Institute, October 2025

Banking on gen AI in the credit business: The route to value creation,” McKinsey & Company, July 2025

Embracing generative AI in credit risk,” McKinsey & Company, July 2024

The future of wealth and growth hangs in the balance,” McKinsey Global Institute, May 2023

2023, a testing year: Will the macro-scenario range widen or narrow,” McKinsey & Company, January 2023

Data and analytics innovations to address emerging challenges in credit portfolio management,” McKinsey & Company, December 2022

Planning for 2023: How US-based business can succeed when capital and talent are constrained,” December 2022

Something’s coming: How US companies can build resilience, survive a downturn and thrive in the next cycle,” McKinsey & Company, September 2022

Using analytics to address inflation risks and strengthen competitive positioning,” McKinsey & Company, August 2022

War in Ukraine: Twelve disruptions changing the world,” McKinsey & Company, May 2022

War in Ukraine: Lives and livelihoods, lost and disrupted,” McKinsey & Company, March 2022

What does resilience mean in capital and balance-sheet management?,” McKinsey & Company, July 2021

Leadership’s role in fixing the analytics models that COVID-19 broke,” McKinsey & Company, September 2020 

Derisking AI by design: How to build risk management into AI development,” McKinsey & Company, August 2020

Amid volatile commodity prices, beware of cognitive bias,” McKinsey & Company, May 2020

In the tunnel: Executive expectations about the shape of the coronavirus crisis,” McKinsey & Company, April 2020

Safeguarding our lives and our livelihoods: The imperative of our time,” McKinsey & Company, March 2020

Navigating near-term earnings gaps while preparing for economic headwinds,” McKinsey & Company, November 2019

Resilience through a downturn,” McKinsey & Company, July 2019

Expanding horizons for risk management in pharma,” McKinsey & Company, May 2018

The analytics-enabled collections model,” McKinsey & Company, April 2018

Past experience

Massachusetts Institute of Technology
Assistant Director, RIKEN-MIT Center for Neural Circuit Genetics
Research Scientist

Howard Hughes Medical Institute
Associate

Education

Massachusetts Institute of Technology
PhD, biology

University of Toronto Scarborough
BA, chemistry, biochemistry & computer science