Summary
Sviatoslav zimine is a Data Engineer Team Lead with 9 years of experience building low-latency, data-intensive systems for trading and risk, currently leading development of a Kafka- and AWS-based timeseries and streaming platform for intraday trading at Alpiq. He blends a strong quantitative background—MS/PhD-level physics and CQF training—with hands-on engineering in Java, Python, GCP and AWS, having built FIX connectors, scalable ETL pipelines and time-series analytics for FX and energy markets. As a hands-on manager and scrum master he hires, coaches and scales teams while formalizing SRE-driven production support practices. His career spans research-grade statistical imaging and HEP origins to production quant work and GPU-accelerated option pricing, giving him an unusual ability to turn complex quantitative models into reliable, operational data services.
9 years of coding experience
14 years of employment as a software developer
CQF, Certificate in Quantitative Finance, Option Pricing Theory, market, credit risks, Modern Portfolio Theory, CQF, Certificate in Quantitative Finance, Option Pricing Theory, market, credit risks, Modern Portfolio Theory at Fitch Learning
MS, Physics, MS, Physics at University of Geneva
visiting PhD student, neonatal diffusion tensor MRI, visiting PhD student, neonatal diffusion tensor MRI at Harvard Medical School
English, French, Russian