Lucian Dragne is a quantitative developer based in London with a deep engineering pedigree spanning low-level C++ systems to modern Python-based quant platforms. He has built FX options pricing and risk systems at UBS and BNP Paribas, owning spread-calculation engines, volatility-correlation modules, market-data ingestion, and client-server web architectures that empower traders with templated product pricing and trade idea tools. Currently at Goldman Sachs, he continues to bridge quant finance requirements with production-grade software, leveraging a background that includes multimedia and platform work at Microsoft. Lucian pairs academic rigor—a doctoral background in computer science—with hands-on experience across C++, Java, Python, C#, JavaScript, and both SQL and NoSQL datastores. Notably, he has implemented user-extensible "recipes" allowing traders to author Python spread logic in the UI, reflecting a focus on practical extensibility and trader-facing tooling. He is actively exploring new opportunities where quantitative expertise meets robust system design.
1 year of coding experience
21 years of employment as a software developer
Doctor, Computer Science, Doctor, Computer Science at Universitatea „Politehnica” din București
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