Alpha-Driven Global Stock Researcher

AQR Capital Management; Greenwich (CT); Vor Ort; USD 225.000 - 245.000; Vollzeit

Benefits dieser Stelle

Annual discretionary bonus

Benefits package

Zusammenfassung

AQR Capital Management in Greenwich, CT is seeking a talented Researcher to join our Global Stock Selection team, focusing on proprietary strategies for global stock selection. You will manage all aspects of research projects, from data ingestion to performance evaluation.

Candidates should be hands-on, collaborative, and capable of implementing new ideas, with strong Python skills and a background in quantitative finance.

Qualifikationen

• BS/MS/PhD in a quantitative field is preferred.
• Experience applying AI to quantitative research preferred.
• 1–3 years in quantitative research at asset manager or hedge fund preferred.
• Strong Python coding skills and data handling.

Aufgaben

• 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.
• Engage in building, training and fine-tuning machine learning architectures for cross-sectional or time-series. 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.

Kenntnisse

Python

Quantitative research

ML frameworks

Data manipulation

Mathematics basics

Ausbildung

Bachelor's degree in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Jobbeschreibung

AQR Capital Management in Greenwich, CT is seeking a talented Researcher to join our Global Stock Selection team, focusing on proprietary strategies for global stock selection. You will manage all aspects of research projects, from data ingestion to performance evaluation.

Candidates should be hands-on, collaborative, and capable of implementing new ideas, with strong Python skills and a background in quantitative finance.