Quant Research Engineer

Millennium is seeking a Quant Research Engineer to join their team in Dubai, United Arab Emirates. This role involves designing, building, and maintaining core quant pipelines and infrastructure, with a focus on integrating AI-native capabilities. If you have a strong academic background and a passion for applying AI in quantitative finance, we encourage you to apply.

Millennium is a global, diversified alternative investment firm founded in 1989, managing $92 billion in assets. We are defined by evolution, innovation, and focus, with a mission to deliver high-quality returns for our investors. We empower talented professionals with sophisticated expertise, resources, and technology to pursue diverse investment strategies across industry sectors, asset classes, and geographies.

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 our investors. Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Experience: 3 Year+
• Qualifications: Masters Degree

Key Responsibilities

• Design, build, and maintain the firm’s core quant pipelines, data infrastructure, and research and production compute environments.
• Ensure the reliability, scalability, and performance of critical systems central to our research and trading activities.
• Drive the architectural vision for our next-generation data and compute platform, embedding AI-native capabilities.
• Partner directly with Quantitative Researchers and other development teams to integrate new components into the core infrastructure.
• Identify where AI can accelerate the research process and build the tooling that makes it routine.
• Own the deployment, monitoring, and operational health of production and research systems.

Requirements

• PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics preferred.
• Gold medal in a national or international olympiad strongly preferred.
• Prior experience at a top-tier quantitative trading firm or a leading AI/technology company preferred.
• Demonstrated passion for applying AI — candidates who have built LLM-powered tools into their own research or engineering workflow stand out.
• 3–5 years of professional experience in a quantitative development role, or significant engineering experience in a fast-paced startup or strong hands-on AI/LLM engineering experience.
• Deep expertise in modern C++ and Python in a high-performance computing context.
• Strong background in cloud computing (AWS, GCP, or Azure) and parallel computing paradigms.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Strong experience with DevOps practices.

Benefits

• Opportunity to work on cutting-edge AI and quantitative finance infrastructure.
• Collaborate with top-tier researchers and engineers.
• Contribute to the firm's core trading and research activities.
• Work in a dynamic and innovative environment.
• Develop expertise in high-performance computing and large-scale data infrastructure.