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Selby Jennings

PhD-Level Quantitative Researcher in Machine Learning for Equities Selby Jennings in United Arab Emirates

Degree Level

PhD

Field of study

Computer Science

Funding

This is a paid job opening for a Machine Learning-focused Quantitative Researcher in a leading quantitative investment firm; no stipend, tuition, or scholarship funding is mentioned.

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Country

United Arab Emirates

University

Selby Jennings

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Keywords

Computer Science
Deep Learning
Mathematics
Finance
Artificial Intelligence
Reinforcement Learning
Quantitative Finance
Artificial Neural Network
Economics
Statistics
ML

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About this position

PhD-level Quantitative Researcher opening in Machine Learning for an Equities team at a leading quantitative investment firm in Dubai, UAE.

The role focuses on applying Deep Learning, Neural Networks, Reinforcement Learning, and broader AI methods to live alpha generation and large-scale systematic investment strategies. You would work alongside experienced Portfolio Managers and Quantitative Researchers in a high-impact quantitative finance environment.

This opportunity is aimed at PhD candidates and graduates who want to transition world-class research into industry. Relevant interests include quantitative research, machine learning, predictive modelling, time series, Python, and systematic investing in equities.

How to apply: use the LinkedIn job link or email [email protected]. The post does not mention a deadline or funding package.

Funding details

This is a paid job opening for a Machine Learning-focused Quantitative Researcher in a leading quantitative investment firm; no stipend, tuition, or scholarship funding is mentioned.

What's required

PhD candidates and graduates are targeted. Strong background in machine learning, deep learning, neural networks, reinforcement learning, AI, predictive modelling, time series, and Python is implied. Experience or interest in quantitative research for systematic investing and equities is relevant.

How to apply

Apply via the LinkedIn job link below or email Hilal Kilinc at [email protected]. Review the verified job posting for the application portal.

More information can be found here

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