Nabhonil Kar

Nabhonil Kar is a Quantitative Researcher at Aquatic Capital Management, a systematic investment firm headquartered in New York, NY, where he has been contributing since February 2024. In this role, he develops advanced mathematical models and algorithms to drive data-driven investment strategies for institutional clients, including hedge funds and pension funds. His work focuses on quantitative approaches across liquid asset classes, leveraging statistical analysis and machine learning to optimize portfolio performance within global financial markets.

Prior to joining Aquatic, Nabhonil was a Data Scientist at Optiver, where he specialized in applying data analytics and machine learning to proprietary trading in highly liquid markets such as equities and options. He also gained research experience as an undergraduate researcher at Princeton University, where he concentrated on quantitative finance and applied mathematics, laying the technical foundations for his subsequent professional roles.

Kar holds a degree from Princeton University, further reinforcing his expertise in quantitative research, mathematics, and data science. His career reflects a strong focus on leveraging scientific rigor and technology to develop predictive models, positioning him as a valued contributor to Aquatic’s mission of delivering industry-leading systematic investment strategies.