Marco Dollinger is a quantitative researcher with a strong software engineering background, currently at Optiver after progressing from intern to full-time engineer and now researcher. He holds dual bachelor's studies in Computer Science and Electrical Engineering from the Technical University of Munich and brings practical experience from internships at Meta, AWS, Rohde & Schwarz and others. Marco combines low-latency trading systems exposure with academic rigor—teaching discrete mathematics—enabling him to bridge theory and production-grade implementation. His career shows rapid progression within high-performance finance engineering, reflecting both deep systems skills and quantitative intuition. Based in Bavaria, he has a global academic footprint including study time in the U.S., and a pattern of seeking roles that sharpen both algorithmic and software engineering expertise. Colleagues describe him as a pragmatic problem-solver who moves quickly from prototype to reliable production code.
15 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Nova Southeastern University
Bachelor of Science Electrical and Electronics Engineering, Bachelor of Science Electrical and Electronics Engineering at Technical University of Munich
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