Summary
Leo Cheng is a quantitative researcher with nine years of applied experience bridging algorithmic research and production trading systems, now at Point72. Trained in computer science and mathematics at the National University of Singapore, he has interned across top-tier firms including Point72, WorldQuant, Amazon, and Apple, blending machine learning engineering with software development for low-latency, data-driven strategies. He has taught undergraduates at NUS, indicating strong communication skills and a knack for translating complex quantitative ideas into practical learning. Based in Guangzhou and tied to Singapore, Leo pursues a professional ethos of becoming indispensable and improving the world, signaling long-term commitment to impactful, team-oriented research.
9 years of coding experience