Quantitative Associate, Research & Analytics

  • Location: New York, NY, New York
  • Type: Perm (Contingency)
  • Job #31328

Compensation: $120,000-$150,000 + bonus

Location: New York, NY

Real Estate company is seeking a Quantitative Associate, Research and Analytics to join the Research and Analytics Team. This position will be responsible for developing quantitative methods to deepen and enhance the fundamental real estate and supply chain research conducted by the Research & Analytics team. The role offers the opportunity to leverage complex existing data science processes and to add new quantitative approaches.

Highlights About the Company & Position:

  • Build analytical models using the R or Python programming languages to help us understand, predict, and forecast rents and other relevant metrics for the portfolio.
  • Establish a deep understanding of industrial real estate and overall logistics fundamentals, thereby helping to formulate and execute new and actionable research projects in the field.
  • Generate creative new ideas for research topics.
  • Challenge the existing assumptions.
  • Serve as a point of connection between specific, qualitative insights and the quantitative methods that can help to generalize these insights.
  • Build a framework for assessing the most important factors for metro area demand growth, using a combination of publicly available and proprietary data.
  • Prepare visualizations that effectively communicate trends, patterns, and predictions using relevant data.
  • Ad hoc analytical support: Provide broader analytical support to the SVP of Research & Analytics.


  • 3-5 years of relevant experience.
  • Deep, analytical, independent thinker.
  • Familiarity with Bayesian statistics.
  • Basic coding skills.
  • Experience in R or Python is a must.

Note: Qualified candidates will be contacted within 2 business days of application. If an applicant does not meet the above criteria, we will keep your resume on file for future opportunities and may contact you for further discussion.

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Job ID: 31328