Aqr Capital Management LLC

Aqr Capital Management LLC

Associate / Vice President – Managed Futures & Commodities

Greenwich, CT · Exec

Sponsorship not specified$245k-$270kDetected 36 days ago
PythonData AnalysisResearchProblem Solving

About the role

  • AQR is looking for an exceptionally talented professional to join our team as a Research Associate or Vice President.
  • You will have the opportunity to participate in a variety of integral business functions including signal research, data analysis, portfolio optimization, and risk management.
  • Engage in the development of AQR's proprietary quantitative investment strategies

Responsibilities

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

Requirements

  • Mature and thoughtful, with the ability to operate within a collaborative, team-oriented culture
  • Committed to intellectual integrity, with a high degree of ethics
  • High degree of intellectual curiosity
  • Programming skills with demonstrated experience; Python preferred but not required

Nice to have

  • Programming skills with demonstrated experience
  • Python preferred but not required

Skills

  • Strong problem solving and quantitative skills

Compensation

  • The salary range for this role is expected to be $245,000-$270,000.

Company info

  • The Managed Futures & Commodities team is responsible for the portfolio management and research of AQR's directional strategies across macro asset classes (equity index, fixed income, currencies, and commodities) as well as AQR's relative-value commodities strategies.
  • The team's mandate includes dedicated directional products such as managed futures but also components of AQR's multi-strategy hedge funds.

This listing is sourced directly from Aqr Capital Management LLC's careers page and normalized into a canonical job model.