Mohammad Noorbakhsh
Quantitative Developer
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMohammad Noorbakhsh is a quantitative developer based in London with eight years of experience applying machine learning, predictive modelling and statistical techniques to trading and risk management. He combines industry-facing roles—developing FX trading strategies, automated execution and arbitrage systems—with rigorous academic training including a PhD in Applied Mathematics and an MSc in Data Science (Distinction). At Riskcare he applies research-led quantitative methods to real-world problems, building on prior roles that delivered measurable P&L improvements and novel forecasting models. Comfortable coding in production environments since early C++ internships, he blends practical engineering with deep mathematical insight to turn complex signals into robust strategies. An unusual strength is the breadth of his background across academia, consultancy and trading floors, which helps him bridge theory and deployable quantitative systems.
8 years of coding experience
10 years of employment as a software developer
Master’s Degree, Finance and Management, Master’s Degree, Finance and Management at Cranfield UniversityMaster’s Degree, Data Science and Analytics, Distinction, Master’s Degree, Data Science and Analytics, Distinction at Royal Holloway, University of LondonMaster's degree, Applied Mathematics, Merit, Master's degree, Applied Mathematics, Merit at University of WarwickBachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Sharif University of Technology
English, Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
scoring5
regression3
julia2
machine-learning-models2
machine-learning2
Programming languages (2)
Github contributions (5)
alchemist5617/timeseries-networks
Oct 2018 - Aug 2023
Contributions:24 pushes, 1 branch in 4 years 10 months
alchemist5617/Climate-Network
Feb 2019 - Feb 2020
Contributions:85 commits, 82 pushes, 1 branch in 11 months
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