Quant Researcher (ML)

Job Title: Quant Researcher (ML) Company: Selby Jennings Job Category: Machine Learning Roles & Responsibilities: Join one of the world's leading multi\-strategy investment platforms as a Quant Researcher focused on Machine Learning and AI. This role sits within a highly successful systematic investment team that is investing heavily in next\-generation research capabilities and the application of cutting\-edge machine learning techniques to financial markets. Responsibilities * Develop and implement machine learning models to identify predictive signals across global markets * Research and apply state\-of\-the\-art deep learning techniques for alpha generation * Design and test neural network architectures for financial forecasting and pattern recognition * Work with large, complex, and alternative datasets to uncover unique sources of investment insight * Conduct rigorous research, experimentation, and statistical validation of trading signals * Collaborate closely with Portfolio Managers, Quant Researchers, and Data Scientists * Build scalable research infrastructure and production\-ready modelling pipelines * Stay at the forefront of developments in AI, machine learning, and quantitative research * Contribute to the development of systematic investment strategies using modern ML techniques * Leading AI research labs * Frontier foundation model teams * Deep learning and applied AI organisations * Research\-focused technology companies * Quantitative research groups * High\-performance computing and data science environments * Academic researchers with strong publication records in machine learning or artificial intelligence Work Location: Dubai, Dubai, United Arab Emirates Availability: Full time

Requirements * PhD or Master's degree in Machine Learning, Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline * Strong background in machine learning research and modelling * Experience building and deploying deep learning models in real\-world environments * Expertise in areas such as neural networks, representation learning, transformers, foundation models, reinforcement learning, probabilistic modelling, or large\-scale optimisation * Excellent programming skills in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow * Strong mathematical and statistical foundations * Demonstrated ability to conduct independent research and solve complex problems * Experience from leading AI labs, deep technology companies, research institutions, or high\-performance machine learning environments is highly desirable Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: GBP 100000 - 150000 per yearly