Global Stock Selection Quant Researcher

AQR Capital Management; Greenwich; On-site; GBP 124,162 - 150,500; Full time

Job summary

AQR Capital Management is seeking a Researcher to join our team and focus on proprietary global stock-selection strategies. You will conduct all aspects of research—from data ingestion to performance evaluation—and collaborate with traders, PMs, and risk managers to refine investment ideas.

The role emphasizes hands-on research, ML development, and continuous learning in a collaborative environment. A strong quantitative background and Python proficiency are essential to succeed.

Qualifications

• B.S. degree in a quantitative discipline and strong academic background.
• Academic or practitioner experience in machine learning methodologies preferred.
• 2–5 years’ experience in data-driven research with an alpha focus.
• Experience in quantitative research at a top asset manager or hedge fund preferred.
• Proficient programming in Python required.
• Experience translating mathematical models and algorithms into code.
• Ability to manipulate large financial data sets for empirical research.
• Experience with ML libraries such as scikit-learn, TensorFlow or PyTorch.
• Experience with NLP technologies including LLMs and prompt engineering is a plus.
• Strong quantitative skills with mathematics, probability, statistics and linear algebra.

Responsibilities

• Engage in alpha research and quantitative analysis to improve investment strategies.
• Perform statistical and economic research using traditional and alternative data to develop new alpha signals.
• Manage all research process aspects including data ingestion, analysis, and evaluation.
• Build, train and fine-tune machine learning architectures for cross-sectional or time-series data.
• Construct features from raw data and develop frameworks to test their effectiveness.
• Stay current with academic and practitioner literature in the field.
• Research aspects of implementation such as trading costs, risk models, optimization, and portfolio construction.
• Add features to the proprietary research system to implement new ideas.

Skills

Python

Machine learning

Data analysis

Statistics

Linear algebra

LLMs

scikit-learn

TensorFlow

PyTorch

NLP

Education

B.S. degree from a top institution in computer science, engineering, mathematics, statistics, operations research, physics or another quantitative discipline

Tools

scikit-learn

TensorFlow

PyTorch

Job description

AQR Capital Management is seeking a Researcher to join our team and focus on proprietary global stock-selection strategies. You will conduct all aspects of research—from data ingestion to performance evaluation—and collaborate with traders, PMs, and risk managers to refine investment ideas.

The role emphasizes hands-on research, ML development, and continuous learning in a collaborative environment. A strong quantitative background and Python proficiency are essential to succeed.