Anton Motornenko is a Quantitative Strategist and Vice President based in Frankfurt with a PhD in theoretical nuclear physics and eight years of experience translating advanced mathematical models into high-performance production code. He combines deep expertise in Monte Carlo simulations, numerical methods, AI, and computational fluid dynamics with hands-on software engineering to solve complex risk and trading problems at scale. At Deutsche Bank he progressed from IRRBB risk methodology lead to quant strategist, applying scientific rigor to financial modelling and large-scale compute workflows. A former postdoctoral fellow and lecturer, he has authored dozens of peer-reviewed papers and taught machine learning to masters students, bringing both research discipline and practical pedagogy to engineering teams. Colleagues value his ability to bridge international, cross-disciplinary groups and to optimize code for thousands of cores—an uncommon blend of theoretical insight and production-grade implementation.
8 years of coding experience
6 years of employment as a software developer
Exchange semester, Theoretical and Mathematical Physics, Exchange semester, Theoretical and Mathematical Physics at University of Oslo
Doctor of Philosophy - PhD, Theoretical Nuclear Physics, Doctor of Philosophy - PhD, Theoretical Nuclear Physics at Goethe University Frankfurt
Master's degree, Theoretical and Mathematical Physics, Master's degree, Theoretical and Mathematical Physics at Taras Shevchenko National University of Kyiv
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Anton Motornenko - Quantitative Strategist Vice President