Summary
Kevin Jin is a quantitative developer with 15 years of engineering experience blending low-latency trading systems, scalable backends, and financial modeling across Citadel and Goldman Sachs. Trained at NYU Stern and Courant in finance, statistics, and computer science, he builds high-performance, concurrent systems—ranging from millisecond market-making engines to SQL-optimized data pipelines—and has a strong Linux sysadmin background dating back to coding at 13. He has repeatedly shipped production trading infrastructure that ties exchange connectivity, risk controls, and automated decision logic, and he pairs that with hands-on research in time-series and sentiment-driven credit strategies. Self-motivated and autodidactic, Kevin is as comfortable tuning kernel-level performance as authoring statistical models, and he frequently translates academic techniques into robust, auditable trading tools.
15 years of coding experience
2 years of employment as a software developer
High School Diploma, Computer Science Academy, 4.82 (top 2% of class), High School Diploma, Computer Science Academy, 4.82 (top 2% of class) at Freehold High School
Bachelor of Arts (BA), Computer Science, Bachelor of Arts (BA), Computer Science at Courant Institute of Mathematical Sciences
Bachelor of Science (BS), Finance, Statistics, 3.74/4.00, Bachelor of Science (BS), Finance, Statistics, 3.74/4.00 at New York University, Stern School of Business