Emma Jin

Emma Jin is a quantitative researcher at DigiFinex Global since September 2022, with a strong track record in managing crypto arbitrage portfolios, conducting user behavior analysis, and designing strategies to enhance hedging and market-making profits. Prior experience includes roles as a student data scientist at Brigit, course assistant at Columbia University, and operations decision science intern at Wolters Kluwer, where Emma developed advanced classification features and standardized databases. Previous internships also include work at the Industrial and Commercial Bank of China, providing financial recommendations, and a data analyst role at Guangdong Giant Leap Construction, where project management skills were demonstrated. Emma holds a Master of Science in Operations Research from Columbia University and a Bachelor’s degree in Mathematics from the University of Liverpool.