Lazar Jelić is an Execution Trader at WorldQuant in London with a decade of technical and entrepreneurial experience bridging quantitative trading, machine learning, and product development. He holds an MSc in Analytics and Management from London Business School and a BSc in Computer Science, where he excelled academically while teaching courses and conducting NLP research. At Microsoft he compressed a production neural network by 74% using knowledge distillation, and he has contributed market and technical analysis for Fabric Ventures including chapters in their State of The Open Economy report. Prior to finance he founded a profitable e-commerce business that automated shipping and accounting and built production mobile and web applications for clients. Comfortable translating research into production, he combines rigorous analytical skills with hands-on engineering and a knack for turning complex systems into efficient, revenue-generating products.
10 years of coding experience
7 years of employment as a software developer
Master's degree Analytics and Management, Master's degree Analytics and Management at London Business School
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Računarski fakultet
High School Leaving Diploma Mathematics, High School Leaving Diploma Mathematics at Grammar School in Kruševac
Contributions:28 commits, 59 pushes, 4 branches in 18 days
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