Fabio Ramponi is a seasoned Quantitative Developer with 11 years in banking, currently driving pricing and auto‑hedging services for UniCredit’s eFX trading platform. He combines low‑latency trading engine expertise with hands‑on Python and Java development, backed by strong quantitative research from a Master’s in Quantitative Finance and an earlier physics background. Fabio’s career spans model validation, R&D and production trading tools, including C++ pricing libraries and structured product models, reflecting a rare blend of research rigor and production-grade engineering. He also brings an unusual foundation in theoretical nuclear many‑body simulation, showing a talent for turning complex mathematical models into efficient software for real‑time markets.
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