Enis Nazif is a Quantitative Developer based in London with nine years of experience delivering data-driven financial software and quantitative research. He blends statistics, programming, and ML to build scalable models and data pipelines for hedge fund and capital markets environments. He has progressed from software engineering internships at Morgan Stanley to quant roles at Man AHL, Maniyar Capital, and currently ExodusPoint Capital Management, focusing on market data, data engineering, and performance analytics. He holds a First Class Honours in Data Science from the University of Warwick and a Distinction in Statistical Science from the University of Oxford, underscoring a strong academic foundation for rigorous computational work. His track record suggests a talent for turning complex market data into robust, production-ready solutions that support rapid decision-making in fast-paced environments. He is based in London, bringing a UK perspective to global markets and a solid blend of theory and practical implementation.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Statistical Science, Distinction, Master's degree, Statistical Science, Distinction at University of Oxford
Bachelor’s Degree, Data Science, First Class Honours, Bachelor’s Degree, Data Science, First Class Honours at University of Warwick
Contributions:6 PRs, 23 pushes, 5 branches in 23 days
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