Summary
Alexander Dovzhikov is a quantitative analyst and seasoned software developer with over 20 years in engineering and 14 years focused on quant roles, currently applying his expertise at ANZ in Sydney. He blends deep mathematical training—stochastic calculus, Monte Carlo methods and PDEs—with pragmatic, language-agnostic software craftsmanship to translate business problems into robust analytical and numerical solutions. His background spans building and optimizing pricing and risk systems for fixed income and derivatives, implementing Parametric VaR and multi-curve calibration, and improving performance through asymptotic and hotspot analysis. Equally comfortable in Java, Scala and C++, he has a track record of integrating complex systems (including Murex validation) and delivering production-ready quant libraries. A Master of Quantitative Finance and former senior developer for trading platforms, he pairs rigorous academic foundations with hands-on, performance-minded engineering.
14 years of coding experience
22 years of employment as a software developer
Master of Quantitative Finance, Quantitative Finance, Master of Quantitative Finance, Quantitative Finance at University of Technology, Sydney
Master, Computer Science, Master, Computer Science at Saint-Petersburg State University