Nitish Ranjan Sinha

Economics and finance leader with over a decade of experience at the Federal Reserve Board, advising on forecasting and U.S. monetary policy. Expertise in leading high-performing teams, developing quantitative forecasting models, and enabling the application of AI and Natural Language Processing to solve complex measurement challenges. Expert in translating complex regulatory and market dynamics into actionable strategies for decision makers. Converts rigorous research into actionable insights in a high-stakes operating environment.

Professional Experience

Group Manager, Financial Projections Group

Board of Governors of the Federal Reserve System

2018 - Present

Led, hired, and mentored a high-performing team of PhD economists and research assistants.
Directed forecasting of key financial variables to inform FOMC monetary policy decisions.
Enabled the integration of AI/NLP models into the Board's research toolkit.
Briefed Board members and senior staff regularly on U.S. financial conditions.

Special Advisor to the Board

Board of Governors of the Federal Reserve System

2021 - 2024

Advised Governor Bowman on economic outlook, interpreting complex staff analysis for policy decisions.
Drafted speeches and facilitated technical briefings between the Governor and staff.

Principal Economist / Senior Economist / Economist

Board of Governors of the Federal Reserve System

2013 - 2018

Conducted influential research in capital markets, monetary policy, and economic forecasting.

Assistant Professor of Finance

University of Illinois at Chicago

2010 - 2013

Developed and taught Python-based finance courses for undergraduate and MBA students.
Awarded "Favorite MBA Professor" for teaching excellence.

Areas of Expertise

Domain Knowledge

Forecasting, Monetary Policy, Financial Markets, Artificial Intelligence, Natural Language Processing

Technical Skills

Python, R, STATA, SAS, Matlab, LaTeX

Education

Ph.D. in Finance

University of Maryland

P.G.D.M. (MBA)

Indian Institute of Management, Ahmedabad

B.Tech. in Electrical Engineering

Indian Institute of Technology, Kanpur

Publications, Awards & Media

Highly cited publications in the International Journal of Forecasting, Financial Analyst Journal, and FEDS Notes.
Research featured in the Financial Times, Barron's, and USA Today.
Recipient of the Graham and Dodd Scroll (2018).
Awarded "Favorite MBA Professor" (2012).
Best Paper Awards from the Chicago Quantitative Alliance & Midwest Finance Association.