Analyst Asset Management
Quick Summary
Recent graduates from quantitative or analytical programs at strong schools — including real estate programs (NYU Schack, Cornell, Wharton, Columbia, Wisconsin, USC, UNC, Penn State, Georgetown),
We are seeking a tech-fluent Analyst to join our New York Asset Management team. This is a modern asset management role — built around using AI tools, automation, and strong analytical workflows to move faster and see further than traditional analysts. The Analyst will support Asset Managers across a portfolio of distressed multifamily and commercial real estate assets, including rent-regulated and affordable housing, office, retail, and mixed-use properties.
This is an entry-level role designed to develop the next generation of Asset Managers. We are explicitly looking for a candidate who is excited to push the limits of what AI tools can do for real estate analysis — extracting structured data from court filings and lease packages, drafting first cuts of memos and lender reports, accelerating model construction, surfacing anomalies in property performance, and building reusable templates and dashboards the whole team can leverage.
The Analyst will support multiple Asset Managers, providing financial modeling, property-level reporting, and due diligence on new and existing assets. The work spans the full asset lifecycle — onboarding, stabilization, performance management, and disposition — with hands-on exposure to underwriting, variance analysis, and transition workflows. Real estate experience is a plus but not required; the right candidate brings curiosity, analytical horsepower, and tech fluency, and we will teach the real estate.
This role is best suited to a recent graduate or early-career professional who learns fast, thinks in systems, and treats every repetitive task as an opportunity to build a better workflow.
Responsibilities
~1 min read
Location & Eligibility
Listing Details
- Posted
- June 25, 2026
- First seen
- June 25, 2026
- Last seen
- June 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- June 25, 2026
Signal breakdown
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