Summary
Kevin Jin is a seasoned quantitative developer blending finance domain expertise with data science and scalable software engineering. He currently contributes to Citadel's Global Credit team (NXT program), delivering end-to-end backends and risk-aware systems, with prior Goldman Sachs experience building ultra-low-latency trading engines. An autodidact with dual bachelor's degrees from NYU Stern (Finance and Statistics) and Courant Institute (Computer Science), he started coding at 13 and brings over 15 years of interdisciplinary industry and side-project experience. His strengths include efficient SQL, complex data modeling, and concurrent programming across distributed backends, complemented by Linux server administration. From Hoboken, New Jersey, he translates ambitious analytics into robust, auditable production systems.
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