Global Stock Selection Research VP/ED – Technical Signals

About AQR Capital Management

AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998.

At AQR, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We’re determined to know what makes financial markets tick – and we’ll ask every question and challenge every assumption. We recognize and respect the power of collaboration, and believe transparency and openness to new ideas leads to innovation.

About The Team

The Global Stock Selection (GSS) group is responsible for the portfolio management and research of AQR's strategies relating to individual equities and equity related securities across all global liquid markets. The team is tasked with building all the firm’s alpha models used in equity products.

Your Role

• Perform statistical and economic research using alternative and traditional financial data to develop new alpha signals.
• 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.
• Build alpha-generating signals from scratch, including cleaning and processing large-scale raw data with effective programming tools, feature-engineering based on economic and mathematical intuitions, building, training and fine-tuning machine learning architectures for cross-sectional or time-series prediction, and systematically evaluating the effectiveness of the signals.
• Engage with most recent academic and practitioner literature in the field.
• Conduct research on various aspects of the implementation of investment strategies such as trading cost models, risk models, optimization, and portfolio construction.

What You’ll Bring

• B.S. degree from a top institution in computer science, engineering, mathematics, statistics, operations research, physics or another quantitative discipline. Advanced degrees preferred.
• 7+ years’ experience working in a data driven research environment with an alpha focus.
• Experience in quantitative research at a top asset manager or hedge fund preferred.
• Proficiency in Python required.
• Ability to manipulate large financial data sets for empirical research and handle complex systems. Strong quantitative skills with demonstrated understanding of mathematics, probability and data science.
• Experience with technical/market data based alpha sources at medium and long forecast horizons preferred.
• Ability to work independently as well as part of a team.
• Demonstrated ability to express and articulate ideas and thought processes in both verbal and written form.

Pay

The salary range for this role is expected to be $255,000 to $275,000. This is the range that we in good faith believe is accurate for this role at the time of this posting. We may ultimately pay more or less than the posted range, depending upon factors such as skills, experience, location, or other business and organizational needs. This wage range may also be modified in the future.