Summary
Steve Kiss is a seasoned consulting technologist specializing in trading systems, derivatives analytics, and counterparty credit risk with over a decade of hands-on experience across major Canadian banks and capital markets desks. He blends deep quantitative domain knowledge (CVA/XVA, market risk, collateral management, MBS and lending products) with practical engineering skills in Python, QuantLib, C#, Kafka, Calypso/Murex and enterprise data platforms to deliver end-to-end solutions from modelling to production. His career spans roles from project and solutions lead to data scientist and PM, driving large programs such as trading systems rationalization, IBOR transition, regulatory reporting warehouses and credit-risk platforms. Based in Toronto, he’s comfortable translating regulatory and risk complexity into pragmatic architectures and automated analytics, and often surfaces non-obvious value by applying data science techniques to retail lending and mortgage workflows.
11 years of coding experience
4 years of employment as a software developer
Master's, Electrical, Electronics and Communications Engineering, Master's, Electrical, Electronics and Communications Engineering at Slovenská technická univerzita v Bratislave
Master's, Finance, Master's, Finance at Ekonomická univerzita v Bratislave
Slovak, English