Global Stock Selection Research VP/ED – Technical Signals
AQR Capital Management
$255,000 - $275,000 / year
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Description
About AQR Capital Management
Founded in 1998, AQR is a global systematic investment management firm. As quantitative investors, research is the foundation of everything we do. We manage a range of alternative and long-only strategies designed to meet the needs of institutional and wealth investors around the world.
AQR’s culture reflects the firm’s academic roots and entrepreneurial spirit. Our collaborative environment fuels innovation and encourages employees to ask thoughtful questions, think creatively and bring new ideas forward. Continuous learning is an important part of the employee experience, helping our people build skills and grow throughout their careers. Employees at every level have opportunities to contribute, regardless of title or tenure.
The firm has 800 employees with headquarters in Greenwich, Connecticut and offices in London, Frankfurt, Dubai, Hong Kong, Sydney and Bengaluru.
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
AQR is seeking a talented Researcher to report to the co-Head of Global Stock Selection and collaborate closely on key projects and new initiatives. Candidates should be motivated and enthusiastic about implementing new ideas and are expected to be hands-on and self-sufficient in conducting all aspects of research projects. Researchers manage all aspects of the research process including data ingestion and processing, analysis, methodology selection, implementation, testing and performance evaluation. This role will involve collaboration with other researchers, portfolio managers, risk managers and traders to develop new and improve current investment strategies. Your responsibilities may include, but are not limited to:
- Perform statistical and economic research using alternative and traditional financial 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.
- 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
- Add features to proprietary research system to implement new research ideas
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
AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY
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.
This job is also eligible for an annual discretionary bonus.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
Benefits
- health insurance
- vision insurance
- 401(k)
- paid time off
- stock options
- bonus
About this role
AQR's Global Stock Selection group is looking for a researcher to develop alpha signals for equity strategies across global markets. You'd work directly with the co-Head of the team on building new investment models from the ground up—sourcing and processing raw financial data, engineering features, training machine learning systems, and rigorously testing their predictive power. The role spans the full research lifecycle, from data ingestion through performance evaluation, with collaboration across portfolio managers, risk teams, and traders to refine both new and existing strategies.
The position suits someone with at least seven years in quantitative research at a top asset manager or hedge fund, ideally with exposure to technical or market-based alpha signals. You'll need a strong foundation in mathematics, statistics, and data science, plus solid Python skills and the ability to wrangle large financial datasets. An advanced degree in a quantitative field strengthens your candidacy, though a B.S. from a top institution in computer science, engineering, mathematics, physics, or operations research is the baseline. Success here depends on being self-sufficient in complex projects while also communicating findings clearly to stakeholders and staying current with academic research in the field.
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Pay for this role
$255,000 to $275,000 per year
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