Enis Nazif is a quantitative developer based in London with 9 years of experience building data-driven trading infrastructure and market-data engineering solutions for hedge funds and asset managers. With an MSc in Statistical Science from Oxford and a BSc in Data Science from Warwick, he combines rigorous statistical training with strong programming skills and practical ML/computational-statistics interests. His career spans roles at Man AHL, Maniyar Capital and now ExodusPoint, where he has focused on scalable data pipelines, market data engineering and quantitative tooling. Colleagues know him for translating complex statistical ideas into production-ready code and for smoothing the gap between research and execution in fast-paced trading environments.
9 years of coding experience
6 years of employment as a software developer
Master's degree Statistical Science, Master's degree Statistical Science at University of Oxford
Bachelor’s Degree Data Science, Bachelor’s Degree Data Science at University of Warwick
Contributions:6 PRs, 23 pushes, 5 branches in 23 days
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