Quantitative Developer

A leading Abu Dhabi-based investment institution is expanding its world-class quantitative capabilities to support systematic investment strategies, portfolio analytics, and data-driven decision-making at scale.

The Quantitative Developer will design, build and maintain the technology backbone of the quantitative investment platform, from research infrastructure and data pipelines to production trading and portfolio analytics systems. Working side by side with quantitative researchers, portfolio managers and data engineers, this role transforms models and research into robust, scalable, production‑grade systems.

• Design and maintain the core quant platform: backtesting frameworks, signal generation pipelines and portfolio construction and optimisation tools
• Develop internal APIs, libraries and tooling used across the research and investment teams
• Build and operate large-scale data infrastructure covering market, fundamental and alternative data sets
• Ensure data quality, lineage and integrity across the research and production stack
• Transform research code into reliable, well‑tested, scalable production systems
• Implement rigorous controls around model deployment, versioning and change management
• Optimise computationally intensive workloads (vectorisation, parallelisation, GPU where relevant)
• Accelerate research workflows by improving iteration speed, reproducibility and tooling
• Implement CI/CD pipelines, automated testing, and monitoring across quantitative systems
• Contribute to coding standards, documentation and the continuous improvement of the platform.
• Prepare and present project status reports, steering committee updates and executive dashboards
• Manage vendor relationships, contracts and delivery commitments with cloud providers and consulting partners
• Facilitate workshops and requirements sessions with business and technical teams.

• 10+ years as a quant developer/engineer within investment management, a hedge fund, prop trading firm, SWF or investment bank
• Expert‑level Python with strong software engineering fundamentals
• Proficiency with SQL and time‑series databases (kdb+, Click House, or similar)
• Experience with cloud platforms (AWS/Azure/GCP), Docker/Kubernetes, and CI/CD
• C++, Rust, or distributed computing (Spark, Dask, Ray) an advantage
• Strong understanding of financial markets; exposure to systematic investing preferred
• Master's Degree in Computer Science, Mathematics, Physics, or related quantitative field

If you are interested to explore more, please apply.