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Global Stock Selection - Implementation Researcher

Job in Greenwich, Fairfield County, Connecticut, 06830, USA
Listing for: AQR Capital Management
Full Time position
Listed on 2026-10-29
Job specializations:
  • Finance & Banking
    Data Scientist, Portfolio & Asset Management, Financial Analyst, Capital Markets
Job Description & How to Apply Below
Requisition : P60833

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. GSS models are applied to market-neutral long/short portfolios in AQR hedge funds as well as to long-only, relaxed-constraint and low volatility portfolios for institutional equity mandates and mutual funds.

Your Role AQR Capital Management is seeking an exceptionally talented Senior Implementation Researcher to join our team of professionals and focus on our proprietary equity strategies. 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. The role will involve collaboration with other researchers, portfolio managers, risk managers and traders to improve various aspects of the implementation of our investment strategies.

Your responsibilities may include, but are not limited to:

Driving insights into and improving our machinery for translating stock characteristics into portfolios and allocating weights across signals in our alpha models

Enhancing non-alpha inputs to our process, such as our risk and transaction cost models

Improving our portfolio optimization process, including proposing and evaluating new objective functions and optimization frameworks

Adding features to our proprietary research system to implement new research ideas

What You’ll Bring B.S. degree from top institution in economics, finance, computer science, engineering, mathematics, or another quantitative discipline. PhD preferred; not required8+ years’ experience working in a similar quantitative or technical environment. Experience in quantitative implementation / portfolio construction research at an asset manager or hedge fund preferred

Research management experience preferred, not required

Demonstrated problem solving ability

Demonstrated ability to write code for analysis; proficiency in one or more object-oriented programming languages (e.g. Python, R, Perl, MATLAB)
Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra

Strong understanding of economic and financial concepts and demonstrated intuition around applying these concepts in a quantitative environment

Demonstrated ability to express and articulate ideas and thought processes in both verbal and written form Ability to work independently as well as part of a team

Who You Are Mature and thoughtful, with the ability to operate within a collaborative, team-oriented culture

Committed to intellectual integrity, with a high degree of ethics

Hard working and eager to learn in a highly intellectual, innovative environment

Well- organized, detail-…
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