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Global Director: AI​/ML Predictive Analytics​/Trading

Job in Abu Dhabi, UAE/Dubai
Listing for: eFinancialCareers
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

We are looking for a leader who can harness the power of AI, machine learning, deep learning, and advanced analytics to redefine predictive trading. This role is for someone who thrives at the cutting edge of technology and finance—someone who can turn complex data and models into trading strategies with measurable impact. While technical mastery is essential, trading experience, market intuition is highly preferable, as the combination of AI, ML and trading expertise will unlock extraordinary upside.

Core

Responsibilities
  • Predictive modeling leadership – Drive the research and deployment of advanced ML and deep learning models (including reinforcement learning and generative AI) that can forecast market dynamics and uncover hidden trading signals.
  • Analytics at scale – Integrate large and complex datasets—market, macro, alternative, sentiment—into models that directly inform trading strategies and portfolio decisions.
  • Trading system integration – Oversee the seamless translation of models into production trading environments, ensuring low latency, scalability, and robust risk controls.
  • Innovation and foresight – Stay ahead of developments in AI / ML and identify ways to apply them to capture alpha across multiple asset classes.
  • Cross‑functional leadership – Lead high‑performing teams of data scientists, quantitative researchers, and engineers, while working closely with traders and portfolio managers to connect model output with execution.
Ideal Background
  • Advanced degree in machine learning, computer science, applied mathematics, or quantitative finance.
  • Deep expertise in predictive analytics, neural networks, reinforcement learning, and large‑scale data modeling.
  • Strong technical fluency in Python, C++ or similar, with hands‑on use of frameworks such as PyTorch, Tensor Flow, or JAX.
  • Proven experience in algorithmic or systematic trading is highly valuable; trading instincts or market expertise are a strong advantage.
  • Ability to translate highly technical modeling into actionable trading insights and strategies.
  • Leadership track record in guiding multidisciplinary teams and pushing innovation into production.
Why This Role Is Exceptional

This position is not only about building models—it’s about shaping the future of AI‑driven trading. The upside is extremely high: successful models and strategies can deliver exponential value, both in alpha generation and long‑term competitive advantage. For the right individual, this role offers the opportunity to sit at the forefront of a transformation where AI and trading converge—and to capture the outsized rewards that come with it.

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