Research Analyst – Liquid Real Assets

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Position: Research Analyst – Liquid Real Assets

Location: Chicago


The Firm is seeking a research analyst to join its Investment Strategy and Research department in Chicago. The analyst will be responsible for supporting our Liquid Real Assets (LRA) team and will perform a variety of quantitative and qualitative analysis covering listed real estate, listed infrastructure and commodities. The successful candidate will be responsible for undertaking a variety of top-down economic analyses/forecasts of REIT and listed infrastructure market conditions; tracking the return performance of publicly-held real estate and infrastructure in relation to other asset classes; and working with other team members in developing views on commodities


  • Collaborate with ARA Research and LRA Portfolio teams to facilitate the dissemination of market information and develop market views
  • Produce thought leadership on liquid real assets and subsectors through the preparation of qualitative materials such as white papers and presentations
  • Develop and update research-driven quantitative models that support the LRA business
  • Prepare materials for the Chief Investment Office to provide analysis, consolidate inputs from LRA PM’s and CIO that contribute to quarterly CIO views and support investment allocations to the LRA business
  • Monitor economic/capital market information that may be relevant for the LRA business and determine implications for various sectors and asset classes within LRA.
  • Develop risk signals for liquid real assets across sectors and/or geographies

Job requirements:

  • Must have at least 5 years of experience in a research capacity performing quantitative analysis and forecasting. Past work experience could include economic or policy analysis, real estate/infrastructure research, securities research, or a similar field.
  • A bachelor’s degree in economics, mathematics, statistics, engineering or a related field is required. A master’s degree or a CFA designation is preferred.
  • The ideal candidate will have a strong quantitative background and experience in modeling and forecasting and in working with statistical software packages.
  • The ideal candidate will have excellent communication skills (both written and verbal) and the ability to meet tight deadlines.
  • The ideal candidate will have an understanding and interest in economics and capital markets as it applies to real estate, infrastructure and commodities.
  • Proficiency in Microsoft Excel, including writing basic macros, is also a must. Working knowledge of Bloomberg and/or Factset a plus.

Contact: Drew Desky