Nikolay Slavev is a software engineer with 10 years’ experience bridging quantitative strategy and financial technology, currently building systems at J.P. Morgan in London. He holds an MSc in Financial Technology and a BSc in Computer Science, and has applied stochastic modelling, numerical methods and multi-language engineering (Python, C++, Scala, Q) to price complex credit products and automate tranche and options workflows. Prior roles at Morgan Stanley, Verition and FactSet show a track record of performance-driven product improvements—e.g., dramatic speedups in financial report retrieval and CSV processing—and productionising pricing and risk tools. Comfortable across DevOps, platform and research-engineering teams, he combines low-level algorithmic work with end-to-end deployment experience. An early background in GIS and asset-management systems and volunteering in coding education reflect a practical, service-oriented approach to technical problems.
9 years of coding experience
5 years of employment as a software developer
BSc Computer Science (Industrial), BSc Computer Science (Industrial) at University of Leeds
BSc Computer Science Computer Science, BSc Computer Science Computer Science at Coventry University
"Akad. Sergey Pavlovich Korolyov" High school of Mathematics
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