AQR

Global Stock Selection Research VP/ED - Technical Signals

AQR$255K — $275K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • B.S. degree in quantitative discipline; advanced degrees preferred.
  • 7+ years in a data-driven research environment focused on alpha generation.
  • Experience in quantitative research at a leading asset manager or hedge fund is preferred.
  • Proficiency in Python required for data manipulation and analysis.
  • Strong quantitative skills, with an understanding of mathematics and data science.
  • Familiarity with technical/market data alpha sources for medium and long-term predictions preferred.
  • Ability to collaborate effectively and communicate research ideas clearly.

Responsibilities

  • Conduct statistical and economic research to create new alpha signals.
  • Manage research processes including data ingestion, analysis, and implementation.
  • Build alpha-generating signals from raw data using programming and machine learning techniques.
  • Research trading costs, risk models, and optimization for investment strategies.
  • Enhance proprietary research systems by integrating new research ideas.

Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) retirement savings plan.
  • Paid time off and holiday leave.
  • Annual discretionary bonus eligibility.
  • Additional benefits package for eligible employees.
Full Job Description
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

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.

About AQR

AQR Capital Management is a global investment management firm that specializes in quantitative strategies. The firm was founded in 1998 by a group of former Goldman Sachs executives, including Clifford Asness, David Kabiller, and John Liew. AQR's investment approach is based on rigorous research and data analysis, and the firm offers a range of investment products, including mutual funds, hedge funds, and separately managed accounts. AQR is known for its innovative investment strategies, including its pioneering work in the field of factor investing. Today, the firm manages over $186 billion in assets for institutional investors and high-net-worth individuals around the world.
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