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Quantitative Research Associate (AQR Capital Management, LLC, Greenwich, CT)

salary Salary :

$240,000 - 260,000 yearly

icon building Company : Aqr
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Job Description - Quantitative Research Associate (AQR Capital Management, LLC, Greenwich, CT)

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.


 


The Team


The Integrated Research team focuses on all aspects of research and portfolio management for a range of the firm’s equity, macro, multi-strategy and managed futures products. This includes the day-to-day management of portfolios, the design and implementation of strategies, new product development, client driven customization and thought leadership.


 


Your Role 


AQR Capital Management is looking for an exceptionally talented professional to join our team as a junior researcher. You will have the opportunity to participate in a variety of integral business functions including research, data analysis, portfolio optimization, and risk management. This role will provide the opportunity to gain hands-on experience in quantitative research as well as the opportunity to become familiar with quantitative asset management and the investment philosophy which drives AQR. You will work in collaboration with senior researchers and portfolio managers in developing and maintaining trading strategies for the firm.



  • Engage in the development of proprietary quantitative investment strategies.

  • Perform statistical and economic research on financial data related to systematic strategies.

  • Participate in a variety of integral business functions, including research, data analysis, portfolio optimization, and risk management.

  • Work closely with portfolio managers to assist in the implementation of investment strategies.

  • Add features to proprietary research system to implement new research ideas.

  • Participate in the design and development of research infrastructure for the purpose of conducting economic and statistical research.

  • Develop and maintain analytical tooling and infrastructure.

  • Telecommuting permitted two days per week.


Who You Are 


Requires Bachelor’s degree in Economics, Computational Finance, or a related quantitative field of study plus three (3) years of experience with developing systematic investment strategies focused on futures, currencies and/or swaps; applying advanced statistical modeling techniques, including Bayesian inference, to develop and evaluate quantitative investment strategies; utilizing machine learning algorithms to identify return-forecasting signals, enhance model accuracy, and support systematic strategy design; extracting features from textual data, automating research tasks, and supporting dataset construction; conducting systematic signals research employing time-series and cross-sectional methods, rigorous backtesting, and robust model-validation techniques; translate research models into implementable portfolio-construction and trading workflows; monitoring strategy behavior, exposures, and alignment with research expectations; and, communicating model assumptions, performance patterns, and risk considerations to portfolio managers.


 


AQR is an Equal Opportunity Employer.  EEO/VET/DISABILITY


 


The salary range is $240,000.00 - $260,000.00/year. 

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