Quantitative Researcher - Strategy

Adcouncil; Abu Dhabi; On-site; AED 250,000 - 350,000; Full time

Job summary

ADIC, Abu Dhabi-based, seeks a Quantitative Researcher to join the Strategy team. The successful candidate will advance the investment process through quantitative research, model development, and AI-driven solutions, contributing to both public and private markets.

You will generate alpha signals, backtest models, and build production-ready tools, collaborating with investment professionals to translate research into implementable strategies, risk models, and performance analytics.

Qualifications

• Bachelor-level or higher in a quantitative discipline.
• Extensive experience in quantitative research and model implementation.
• Experience applying AI/ML to financial data and production-ready tools.

Responsibilities

• Generate and test alpha signals and factor ideas across asset classes.
• Develop valuation models for public and private markets.
• Backtest and evaluate quantitative models and portfolio construction frameworks.
• Build risk models, performance attribution, and analytics.
• Develop end-to-end quantitative tools supporting investment workflows.

Skills

Quantitative research

Systematic investing

Portfolio construction

Time-series analysis

Python programming

Machine learning

Data analysis

Communication skills

Education

Bachelor's degree in quantitative field

Master's degree or PhD advantageous

Tools

SQL

Git

AWS

Job description

ADIC is seeking a Quantitative Researcher to join the Strategy team. The successful candidate will play a key role in supporting ADIC's investment process through quantitative research, model development, and AI-driven solutions.

This role offers the opportunity to contribute to investment decision-making across both public and private markets by developing systematic signals, valuation models, and portfolio construction tools. The successful candidate will work closely with investment professionals across the Strategy team to enhance quantitative capabilities and support the development of innovative investment solutions.

Key Responsibilities

• Generate and test alpha signals and factor ideas across asset classes using statistical and machine learning techniques.
• Conduct quantitative research and develop valuation models across both public and private markets.
• Design, backtest, and evaluate quantitative models, systematic strategies, and portfolio construction frameworks.
• Build and enhance risk models, performance attribution frameworks, and investment analytics.
• Develop end-to-end quantitative tools and applications to support investment workflows, from data ingestion through to deployment.
• Partner with investment professionals across the Strategy team to deliver research, model specifications, and quantitative insights.
• Drive AI and machine learning initiatives, identifying opportunities to enhance research and investment processes.

Experience

• Minimum 5 years of relevant experience in quantitative research, systematic investing, portfolio construction, asset allocation, or investment strategy.
• Experience conducting quantitative research across public markets, with exposure to private markets considered advantageous.
• Proven experience designing, backtesting, and implementing quantitative models or systematic investment strategies.
• Experience applying AI and machine learning techniques to financial datasets and developing production-ready analytical tools.

Education

• Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Statistics, Physics, or another quantitative discipline.
• Master's degree or PhD is considered a strong advantage.

Technical Skills & Knowledge

• Strong programming skills in Python or another object-oriented language, with experience developing production-quality code.
• Good understanding of quantitative modelling, time-series analysis, factor models, and portfolio optimisation.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch.
• Knowledge of SQL, cloud platforms, and Git-based development practices.
• Strong understanding of financial markets, including equities, fixed income, private markets, and their application to portfolio management and asset allocation.
• Excellent analytical and communication skills, with the ability to present complex quantitative findings to investment stakeholders.