Hitesh Harnal
About Hitesh Harnal
Hitesh Harnal serves as the Executive Director of the Municipal Credit Products and Special Situations Group at UBS, where he has worked since 2023. He has extensive experience in fixed income trading and public finance, having previously held various roles at UBS and Lehman Brothers.
Current Role at UBS
Hitesh Harnal serves as the Executive Director in the Municipal Credit Products and Special Situations Group at UBS. He has held this position since 2023, working from New York, New York. In this role, he focuses on developing and managing credit product offerings tailored for public finance entities, which include loans, letters of credit, revolvers, and other banking products. His work supports various sectors, such as state and local governments, healthcare, affordable housing, higher education, mass transit, and project finance.
Previous Experience at UBS
Prior to his current role, Hitesh Harnal worked at UBS for 14 years, starting as an Associate Intern in 2009. He progressed to Director of Municipal Credit Products from 2020 to 2023, where he specialized in analyzing, pricing, marketing, structuring, and risk managing complex fixed income transactions. His tenure at UBS has involved significant contributions to the development of financial products for public finance.
Professional Background in Finance
Before joining UBS, Hitesh Harnal worked as an Analyst at Lehman Brothers from 2007 to 2008. In this role, he conducted asset and actuarial analysis on various transactions, utilizing both historical and projected data. His experience in the finance industry has equipped him with a strong foundation in financial analysis and transaction structuring.
Education and Expertise
Hitesh Harnal holds a Graduate degree in Electrical Engineering from the Indian Institute of Technology, Delhi, where he studied from 2002 to 2007. He furthered his education by obtaining a Master of Arts in Mathematical Finance from Columbia University, completing his studies in 2009. His academic background supports his expertise in applying data analysis and stochastic models to create deal models and run scenarios for complex financial transactions.