Global Stock Selection Researcher: Alt Data & ML

AQR; Greenwich (CT); On-site; USD 225,000 - 245,000; Full time

Job summary

AQR Capital Management is seeking a talented Researcher to join our team focused on proprietary strategies related to global stock selection. You will manage data ingestion, analysis, and performance evaluation while collaborating with portfolio managers, risk managers, and traders to develop and improve investment strategies.

We value hands-on researchers with strong Python skills and experience applying AI/ML to quantitative research.

Qualifications

• BS in computer science, engineering, mathematics, statistics, operations research, physics or another quantitative discipline. Advanced degrees, especially Ph.D, preferred
• Academic or practitioner experience in applying generative AI to quantitative research preferred
• 1-3 years of experience working in quantitative research, especially alternative data research, at a top asset manager or hedge fund preferred
• Strong programming skills in Python required
• Experience with translating mathematical models and algorithms into code
• Ability to manipulate large financial data sets for empirical research and handle complex

Responsibilities

• Engage in alpha research and other quantitative analysis to improve current investment strategies in collaboration with existing research team
• Perform statistical and economic research using traditional financial and alternative data to develop new alpha signals. Successful researchers manage, in collaboration with supervising portfolio manager, all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation.
• Engage in building, training and fine‑tuning machine learning architectures for cross‑sectional or time‑series. Learn how to use the appropriate model for the problem at hand. Construct economically nuanced features from raw data and adjust or develop new frameworks to evaluate their effectiveness.
• Occasionally, conduct research on various aspects of the implementation of investment strategies such as trading cost models, risk models, optimization, and portfolio construction
• Add features to proprietary research system to implement new research ideas

Skills

Python

Education

BS in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

AQR Capital Management is seeking a talented Researcher to join our team focused on proprietary strategies related to global stock selection. You will manage data ingestion, analysis, and performance evaluation while collaborating with portfolio managers, risk managers, and traders to develop and improve investment strategies.

We value hands-on researchers with strong Python skills and experience applying AI/ML to quantitative research.