Global Stock Selection Quant Researcher

Aplaro Ltd

Greenwich

On-site

GBP 124,162 - 150,500

Full time

14 days+
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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.

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