معرفی
Dr. Satyajit (Jeet) Karnik is a Lecturer in Finance at the Scheller College of Business, Georgia Institute of Technology. He teaches undergraduate and graduate courses including Trading and Structure, Financial Management, Finance and Investments, and Derivative Securities in the MS in Quantitative and Computational Finance program.
He has previously served as Assistant Professor of Finance at the Fox School of Business, Temple University, and has taught at Fordham University, Baruch College, UC Irvine, and Pepperdine University. His academic expertise spans risk management, derivatives, and machine learning applications in finance.
- Ph.D. in Mathematics – University of Michigan, Ann Arbor
- Master’s in Applied Economics – University of Michigan, Ann Arbor
- Master’s in Mathematics – Indian Institute of Technology, Mumbai
His research interests include risk management, derivatives markets, quantitative finance, and the application of machine learning techniques in financial modeling. These interests are informed by both his academic training in mathematics and economics and his extensive industry experience.
While no recent publications are listed, his professional focus suggests strong engagement with practical and pedagogical aspects of finance rather than a research-intensive academic trajectory.
Dr. Karnik has received multiple teaching awards throughout his career, highlighting his excellence and dedication in the classroom.
He has advised and taught numerous students across multiple institutions, though specific advisees are not listed. He has not been associated with formal grant-funded research in the provided text.
His professional journey bridges academia and industry, having served as Vice President of Research at the Global Association of Risk Professionals (GARP) and managed the quantitative analytics group at Option One Corp., where he developed models for mortgage prepayment, credit risk, hedging, and asset liability management.
