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Analyst, Quantitative Research Group (QRG)

The Ares Quantitative Research Group (QRG) is a pioneer in the application of quantitative analytics to private markets. QRG works across asset classes – credit, private equity, private real estate, and infrastructure – to provide investible insights to Ares’ investment teams, to deepen relationships with Ares’ investors, and to help develop new products for the firm. The group is a leader in private market performance measurement, having played a key role in the development of Direct Alpha and Excess Value. It regularly deals with questions that are novel, taking advantage of the private nature of private markets. QRG consists of two teams, Research and Software, and acts as a firm-wide hub, coordinating closely with quantitative resources that are embedded within Ares’ different investment teams.

Roles & Responsibilities

We are seeking an Analyst to join our Research team in New York City. Responsibilities include:
  • Work with mathematical and statistical models to solve important problems in private market investing, including identifying return drivers and attributes of private market portfolios
  • Participate in original research to answer novel questions and produce investible information across private market asset classes
  • Help to evaluate clients’ private market portfolios, identifying opportunities for active management in order to achieve portfolio objectives
  • Assist in the preparation of presentations for internal investment groups, external investors, and conferences
  • Contribute to the design, development, and evaluation of proprietary software tools used in the assessment of private market investment opportunities

Who We Are Looking For

Successful candidates should have:
  • A fundamental understanding of Finance and a strong interest in financial markets
  • Interest in private markets
  • Good knowledge of some selection of statistical tools such as Python, R, Stata or Matlab
  • Strong financial analysis, writing, communication, and presentation skills
  • Good working knowledge of Microsoft Excel
  • The ability to work both independently and as a productive member of dynamic teams

Candidates for the Analyst Role must have completed an undergraduate degree in time for a July 2023 start date, ideally in Finance, Economics, Math, Statistics, Data Analysis, or a similar field.

Required graduation range between December 2019 and June 2023.