Entry Level Distressed Asset Jobs (NOW HIRING)

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.

How You'll Work

This is a different kind of analyst role. We expect the Analyst to:

• Use Claude, ChatGPT, Copilot, and similar tools as a daily part of the workflow — for research, document review, summarization, model logic, code generation, and drafting.

• Build prompts, workflows, and reusable patterns that compound team productivity over time, not just one-off outputs.

• Apply sound judgment around accuracy, source verification, and confidentiality. AI accelerates work; it does not replace verification.

• Stay current on new tools and techniques and bring them back to the team.

Responsibilities

• Build, maintain, and audit financial models, including cash flow projections, sale and refinance scenarios, waterfalls, and sensitivity analyses across multifamily and commercial assets.

• Support underwriting on new engagements, including pre-foreclosure assessments, takeover analysis, and business plan development.

• Use AI tools to accelerate document review, including leases, regulatory agreements, loan documents, court filings, and rent rolls — with appropriate verification.

• Prepare property-level performance reporting, including monthly variance analysis, budget-to-actual comparisons, and trend reporting for Asset Managers and lender clients.

• Build and maintain operating budgets, capital budgets, and reforecasts in partnership with Asset Managers and property managers.

• Support due diligence on new asset transitions, including review of rent rolls, leases, operating statements, regulatory agreements, and loan documents.

• Assist with onboarding and offboarding of assets, including data room organization, document review, opening inventory, and final accounting support.

• Track tenant rosters, lease expirations, renewal pipelines, and vacancy across the portfolio.

• Support regulatory compliance tracking, including DHCR registrations, tax abatement timelines (421-a, 421-g, J-51), and affordable housing recertifications.

• Prepare lender, court, investor, and senior leadership reporting packages, including portfolio reviews and ad-hoc analyses.

• Develop tools, templates, dashboards, and AI-assisted workflows that improve visibility and team productivity.

• Conduct market research on comparable assets, submarket trends, regulatory changes, and lender or borrower counterparties.

• Support invoice review, vendor management documentation, and capital project tracking.

• Coordinate with property managers, brokers, attorneys, and lender contacts to gather and synthesize information.

• Partner across the Asset Management, Receivership, and Operations teams to improve processes and reporting.

Required

• 0–2 years of professional experience; recent graduates encouraged to apply.

• Bachelor's degree in any quantitative or analytical field — Real Estate, Finance, Accounting, Economics, Computer Science, Data Science, Engineering, Math, or related.

• Demonstrated active use of AI tools (Claude, ChatGPT, Copilot, or similar) in coursework, prior roles, or personal projects — with the ability to explain how you use them and where you don't.

• Strong analytical and quantitative skills, with the ability to build, audit, and explain financial models from scratch.

• Advanced Excel proficiency, including comfort with complex formulas, lookups, and model construction.

• Strong written and verbal communication skills, with the ability to summarize complex information clearly for senior audiences.

• Strong attention to detail and ownership of work product, especially when verifying AI-assisted output.

• Curiosity and initiative — willing to ask questions, dig into source documents, and improve workflows.

• Ability to manage multiple workstreams across several Asset Managers and prioritize independently.

• Comfort working in fast-moving, ambiguous, and occasionally high-pressure environments.

• Sound judgment around accuracy, source verification, and confidentiality — particularly when using AI tools.

Preferred

• Internship or prior experience in real estate, banking, accounting, special servicing, or restructuring.

• Coursework or projects involving real estate finance, capital markets, or urban economics.

• Exposure to NYC multifamily, commercial real estate, or rent-regulated housing through internships, academic work, or personal interest.

• Familiarity with Argus, Yardi, or RealPage.

• Basic understanding of how receiverships, foreclosures, and CMBS or agency loan structures work.

What You'll Bring

You bring intellectual curiosity, analytical rigor, ownership of your work, and a default-to-automate mindset. You see AI tools as leverage, not a shortcut. You verify before you trust. You learn fast and bring new techniques back to the team.

Career Path

This role is designed as the entry point into our Asset Management practice. Analysts who perform well are expected to take on increasing responsibility — owning individual assets, then portfolios — and progress toward Associate and Asset Manager roles over time. The team invests directly in development, with structured exposure to senior leadership, court-supervised work, and the full lifecycle of complex real estate assets. Analysts who push the firm forward on tech and AI workflows will have an outsized impact and visibility from day one.

Candidate Background

Strong candidates may come from:

• 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), but also finance, economics, computer science, data science, and engineering programs at any strong undergraduate institution.

• Real estate or banking internships, including at affordable housing developers, commercial owner-operators, banks, agencies (Fannie Mae, Freddie Mac, FHA), special servicers, or accounting firms with real estate practices.

• Entry-level rotational programs at REITs, real estate investment firms, or CRE lenders.

• Tech-adjacent roles or internships — quant, data, automation, or AI-focused work — where the candidate developed strong analytical and modern tooling habits.

• Adjacent analytical roles in restructuring, distressed debt, or special situations groups.

We are looking for candidates who show curiosity, analytical strength, and a clear interest in real estate. Real estate experience is a plus, not a requirement. We expect Analysts to grow into Asset Managers over time.

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