Quantitative Researcher

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
• Partner with investment professionals to deliver research, model specifications, and quantitative insights
• Drive AI and machine learning initiatives to enhance research and investment processes

• Minimum 5 years of experience in quantitative research, systematic investing, or investment strategy
• Experience conducting quantitative research across public markets
• Proven experience designing, backtesting, and implementing quantitative models
• Experience applying AI and machine learning techniques to financial datasets
• Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Statistics, or Physics
• Strong programming skills in Python or another object-oriented language
• Proficiency with machine learning frameworks such as scikit-learn, Tensor Flow, or Py Torch
• Knowledge of SQL, cloud platforms, and Git-based development practices

• Master's degree or PhD in a quantitative discipline
• Exposure to private markets

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.