Quant Research Ml Equities Dubai

Dubai, United Arab Emirates

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I am working with a $20bn collaborative hedge fund expanding their ML driven equities business in Dubai, more information below.Key Responsibilities:

Develop and apply state-of-the-art machine learning techniques to identify patterns and trends in financial markets.
Collaborate with domain experts to explore, clean, and preprocess large-scale structured and unstructured datasets.
Build and backtest systematic trading strategies, ensuring robustness and scalability.
Conduct research into novel methodologies, keeping the fund at the forefront of ML innovation.
Communicate findings and recommendations clearly to technical and non-technical stakeholders.

Qualifications:

PhD in a quantitative discipline (e.g., Computer Science, Mathematics, Physics, Statistics, or related field).
Strong programming skills in Python, R, or C++ with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Proficiency in statistical analysis and optimization techniques.
2+ years in quantitative research, data science, or a related field, ideally within finance.
Ability to frame complex problems in a systematic way and propose innovative solutions.
Excellent collaboration skills, with a commitment to a team-first mindset.

If there is any interest, please apply directly or reach out to me on harry.moore(at)selbyjennings.com

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