Kende Orbán (欧涵迪)
About Kende Orbán (欧涵迪)
Kende Orbán is a Fixed Income Data Analyst at Jefferies in New York, with a background in Data Science from NYU Shanghai and experience as an intern at Manticor Trading.
Fixed Income Data Analyst at Jefferies
Kende Orbán is currently serving as a Fixed Income Data Analyst at Jefferies in New York, United States. His tenure at Jefferies began in 2022. In this role, he is involved in risk management and focuses on enhancing the impact, efficiency, and efficacy of financial systems. By leveraging data-driven solutions, he aims to improve the overall performance of fixed income investments.
Previous Experience at Manticor Trading
In 2019, Kende Orbán interned at Manticor Trading in New York, United States. During his three-month internship, he gained hands-on experience in the financial sector and honed his analytical skills. This experience provided him with foundational knowledge and practical insights into trading operations and market analysis, which proved vital for his subsequent roles.
Education in Data Science at NYU Shanghai
Kende Orbán pursued his higher education at NYU Shanghai, where he studied Data Science. He earned a Bachelor's Degree after a vigorous five-year program from 2016 to 2021. The curriculum equipped him with a comprehensive understanding of data analysis, statistical methods, and computational techniques, which he applies extensively in his professional career.
Diverse International Background
Having resided in six different countries across three continents, Kende Orbán brings a unique global perspective to his work in the financial sector. This extensive international experience allows him to navigate and understand complex financial systems worldwide, making him adept at managing global investment risks and opportunities.
Interests and Aspirations
Kende Orbán has a diverse array of interests that include fine and modern art, nonfiction literature, weightlifting, and extensive travel. Beyond his personal interests, he aspires to be a decision-maker in society. He aims to leverage his expertise in data science to make intelligent and quantified decisions, thereby influencing economic and financial landscapes effectively.