AI-Driven Quantitative Researcher | Alpha & Models

Remote DXB; Abu Dhabi; On-site; AED 600,000 - 900,000; Full time

Job summary

ADIC is seeking a Quantitative Researcher to join the Strategy team to support the investment process through quantitative research, model development, and AI-driven solutions. The role requires hands-on design, backtesting, and deployment of systematic strategies across asset classes, with a focus on AI/ML techniques and modern data workflows in a fast-paced environment.

You will collaborate with investment professionals, construct robust risk and attribution models, and build end-to-end tools

Qualifications

• Bachelor's degree in a quantitative field is required.
• 5+ years in quantitative research or systematic investing.
• Experience designing, backtesting, and implementing models.
• Experience applying AI/ML to financial data.
• Strong Python or OO language skills.
• Knowledge of ML frameworks and SQL, cloud platforms, Git.

Responsibilities

• Generate and test alpha signals and factor ideas across asset classes using statistical and ML techniques.
• Conduct quantitative research and develop valuation models across public/ private markets.
• Design, backtest, and evaluate quantitative models, strategies, and portfolio construction.
• Build and enhance risk models, attribution frameworks, and investment analytics.
• Develop end-to-end quantitative tools to support investment workflows.
• Partner with investment professionals to deliver research, model specs, and insights.
• Drive AI and ML initiatives to enhance research and processes.

Skills

Quantitative research

Backtesting

AI/ML techniques

Python

SQL

Git

Cloud platforms

scikit-learn

TensorFlow

PyTorch

Public markets

Education

Bachelor's degree in Finance/Math/Engineering/CS/Statistics/Physics

Master's or PhD in quantitative discipline (preferred)

Tools

Python

SQL

Git

Cloud platforms

scikit-learn

TensorFlow

PyTorch

Job description

ADIC is seeking a Quantitative Researcher to join the Strategy team to support the investment process through quantitative research, model development, and AI-driven solutions. The role requires hands-on design, backtesting, and deployment of systematic strategies across asset classes, with a focus on AI/ML techniques and modern data workflows in a fast-paced environment.

You will collaborate with investment professionals, construct robust risk and attribution models, and build end-to-end tools