Summary
Kaan Yolsever is a quantitative researcher based in London with eight years of experience building data-driven trading strategies across multi-asset arbitrage, index rebalancing, and equity electronic execution. He has progressed through roles at major firms including Balyasny, Millennium, Berenberg and BNP Paribas, combining front-office research with production-focused software development. Trained in statistical science at Oxford and with a dual BA in Economics and Mathematics from UBC, he blends rigorous probabilistic modeling with practical execution microstructure know-how. Kaan’s background spans both academic research and hands-on trading desks, giving him a talent for turning complex statistical ideas into low-latency trading tools. He is particularly interested in computing and statistics, and brings an analytical curiosity that often surfaces in cross-asset signal design and rebalancing optimization.
8 years of coding experience
4 years of employment as a software developer
High School Diploma Social Sciences and Mathematics, High School Diploma Social Sciences and Mathematics at Galatasaray Lisesi
MSc in Statistical Science, MSc in Statistical Science at University of Oxford
BA Economics & Mathematics, BA Economics & Mathematics at The University of British Columbia
English, French, Turkish