Deep Learning Quantitative Researcher

Millennium is seeking a Deep Learning Quantitative Researcher to join their team in Dubai, United Arab Emirates. This role involves designing and building core deep learning pipelines for quantitative alpha research and driving the research agenda using applied deep learning techniques. Join a global, diversified alternative investment firm focused on innovation and delivering high-quality returns.

Millennium offers talented professionals the resources and technology to pursue diverse investment strategies. We are looking for individuals with a top-tier academic background and practical experience in deep learning.

Apply now to contribute to cutting-edge quantitative research at a leading investment firm.

Company Overview

Millennium is a global, diversified alternative investment firm founded in 1989, managing $92 billion in assets. Defined by evolution, innovation, and focus, Millennium's mission is to deliver high-quality returns for its investors. The firm empowers talented professionals with sophisticated expertise, resources, and technology to pursue diverse investment strategies across various sectors, asset classes, and geographies.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Qualifications: PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics
• Experience: 3-5 years of professional experience applying deep learning to large-scale problems, ideally in quantitative finance.

Key Responsibilities

• Design and build the firm’s core deep learning pipelines for applied quantitative alpha research.
• Drive a significant part of the research agenda using applied deep learning techniques, owning the full empirical loop.
• Uphold rigorous research discipline in a low signal-to-noise domain.
• Act as the firm’s central point of deep learning expertise, advising on architecture selection and training diagnostics.
• Facilitate the seamless flow of model fitting and model computation across teams and systems.

Requirements

• Top-tier academic background from a globally top-20 university.
• PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics.
• Gold medal in a national or international olympiad strongly preferred.
• Practical, hands-on experience with large-scale, end-to-end deep learning at a top-tier quantitative Trading Firm or a Leading AI/technology Company preferred.
• Deep expertise in Python and a modern DL framework.
• Hands-on experience with large-scale model training.

Benefits

• Opportunities to work on cutting-edge deep learning applications in quantitative finance.
• Collaborate with a team of highly skilled researchers and engineers.
• Contribute to a firm with a strong focus on innovation and research excellence.
• Work in a dynamic and intellectually stimulating environment.
• Potential for significant impact on the firm's investment strategies.