Quantitative Researcher (Machine Learning) | Equities, Dubai, UAE

Quantitative Researcher (Machine Learning) | Equities, Dubai, UAEAre you completing a PhD and applying cutting-edge Deep Learning techniques to complex real-world problems?A leading quant team based in Dubai is seeking a Quantitative Researcher to join its growing Equities platform. This opportunity is ideal for PhD graduates with expertise in Machine Learning, Deep Learning, Neural Networks, Reinforcement Learning, or Large-Scale Data Science who are interested in applying research to live systematic trading strategies.You will work alongside experienced Quantitative Researchers, Traders, and Technologists to develop next-generation predictive models across global equity markets.What You'll Be Doing- Research and develop alpha signals using Machine Learning and Deep Learning techniques.- Apply Neural Networks, Transformers, Time Series Models, Reinforcement Learning, and other advanced statistical methods to large-scale financial datasets.- Design and improve predictive models for equity forecasting and systematic investing.- Analyse alternative and traditional datasets to identify new sources of alpha.- Collaborate with portfolio managers and engineers to deploy research into production.- Conduct rigorous back-testing and performance analysis.What We're Looking For- PhD (or soon-to-be completed PhD) in Machine Learning, Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline.- Strong research background involving Deep Learning, Neural Networks, Statistical Learning, AI, or Large-Scale Modelling.- Excellent programming skills in Python.- Experience working with large datasets and developing predictive models.- Publications across top ML conferences (NeurIPS, ICML, ICLR, AISTATS, IEEE and etc) academic research, or industry projects involving advanced Machine Learning techniques are highly desirable.