Steve Nguoghia

Founder & Principal Quantitative Analyst

Steve is an AI-First Quantitative Innovator and the Founder and Principal Quantitative Analyst of cipris. He brings over two decades developing, implementing, and validating sophisticated financial models for leading global institutions including UBS, Deutsche Bank, BNP Paribas, Nomura, and Lloyds Banking Group and fintech disruptors such as eklipX. His technical expertise encompasses the complete lifecycle of quantitative solutions, from developing and testing exotic derivatives pricing and risk models to validating models and regulatory compliance, using models, analyzing risk, and deploying automated analytics across interest rates, FX, commodity, and equity markets. His breakthrough achievements include creating from ground up comprehensive commodity pricing frameworks for vanilla and exotic options, yield curve and volatility models, successfully benchmarked against industry standards; creating an innovative automated loan approval model that increased grant rates by 400% while maintaining rigorous risk controls; and pioneering model risk rating frameworks adopted bank-wide.

Steve holds a Master of Science in Computational Finance from University of Lyon I and a Civil Engineering degree from École des Mines de Saint-Étienne, one of France's most prestigious Grande Écoles. This combination of rigorous academic training in stochastic processes and computer science, paired with practical implementation experience across global markets, enables him to deliver complete quantitative ecosystems from zero to production that meet both technical specifications and business objectives.

Fluent in both English and French, Steve brings a unique international perspective to quantitative finance challenges, seamlessly serving clients across European, North American, and global markets. His approach combines rigorous academic methodology with pragmatic business insight, ensuring every solution is both technically sound and commercially viable.