Mohsin Javed is a quantitative researcher with 12 years of experience applying computational mathematics and engineering to market-making, systematic credit, and fixed income strategies. He holds a DPhil in Computational and Applied Mathematics from the University of Oxford and combines deep expertise in numerical algorithms, scientific computing and financial derivatives to build production-ready models. His career spans Goldman Sachs, BlackRock’s systematic credit desk, and a current quant role at a fixed income hedge fund, evidencing consistent progression from strategy to portfolio-level implementation. Mohsin is fluent at turning mathematical theory into scalable trading systems and has a background in electrical engineering and computer science that informs his pragmatic approach to system design. He is notable for bridging rigorous academic methods with hands-on engineering—optimizing both model accuracy and computational performance. Based in Oxford, he brings a research-led mindset to real-world trading problems and a track record of delivering robust numerical solutions under production constraints.
12 years of coding experience
Doctor of Philosophy (PhD), Computational and Applied Mathematics, Doctor of Philosophy (PhD), Computational and Applied Mathematics at University of Oxford
Bachelor of Science (Hons), Electrical Engineering and Computer Science, Bachelor of Science (Hons), Electrical Engineering and Computer Science at University of Engineering and Technology, Lahore
Contributions:235 pushes, 11 branches in 1 year 1 month
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