Summary
Dmitry Zotikov is a Lead Quantitative Analyst based in Munich with 18 years of experience applying applied mathematics and machine learning to market microstructure, index design, and systematic trading. At dxFeed he has led index research teams across Crypto and FX, built terabyte-scale backtesting pipelines, reconstructed and simulated limit order books, and validated statistical arbitrage and risk-budgeting approaches with large neural networks. He combines hands-on engineering (R, C++, Docker) with production operations—running real-time index computation platforms and automating market-summary reporting via LLMs. His background spans rigorous quantitative training (CQF, applied mathematics) and an early career in clinical statistical programming, giving him an unusual blend of domain discipline and pragmatic engineering. Colleagues rely on him for recruiting top quant talent and translating exploratory ML prototypes into auditable, production-ready workflows.
18 years of coding experience
6 years of employment as a software developer
Applied Mathematics, Applied Mathematics at Saint Petersburg State University
Quantitative Finance, Quantitative Finance at CQF Institute
Cognitive Science, Cognitive Science at Yeungnam University
English, German, Russian