Qinmeng Luan is a Vice President in FX Options Quant with eight years of experience applying statistical modelling, volatility research and machine learning to options markets. Holding a PhD in Computational Modelling from Imperial College London, she blends rigorous academic training with hands-on expertise in vol surface construction, relative value and portfolio optimization. At Citi she leads trade analysis, backtesting and automation efforts that turn flow signals into executable insights for trading desks. Her background includes research into neural-network-driven volatility surfaces during a Barclays internship and participation in competitive datathons, reflecting a practice-oriented approach to model validation. Known for pragmatic Python tooling and data-led decision-making, she focuses on building reproducible analytics that scale from research prototypes to production workflows.
8 years of coding experience
Bachelor's degree, Bachelor's degree at The University of Manchester
Doctor of Philosophy - PhD Mechanical Engineering; Computational Modelling, Doctor of Philosophy - PhD Mechanical Engineering; Computational Modelling at Imperial College London
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Qinmeng Luan - Vice President - Fx Options Quant at Citi