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