Content Manager - Deep Sector Real Estate
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Responsibilities
- Thematic Research & Thought Leadership (Primary Focus)
- Thought Leadership: Author institutional-grade research memos and white papers on emerging real estate trends, focusing on the "so what?" behind the data.
- Public-to-Private Read-Throughs: Monitor and interpret Publicly Traded REIT performance, company earnings calls, supplemental filings, and management guidance to extrapolate sector or market level themes.
- Market Narrative: Monitor real estate capital market trends, regulatory developments, and key transaction activity to craft forward-looking research narratives.
- Content Generation: Produce a monthly "Research Insights" newsletter summarizing macro trends, debt market liquidity, and significant M&A activity.
- Synthesis: Distill primary and secondary research (earnings calls, SEC filings, industry data, macro indicators) into concise, actionable intelligence.
- Data Synthesis & Analytics
- Leverage FactSet's internal proprietary datasets and public data sources to build and maintain thematic trackers across property types and markets.
- Synthesize siloed local datasets-such as M&A transactions, CMBS, housing, and demographic data-into differentiated, sub market level insights.
- Own and enhance the team's NAV & Cap Rate model, tracking the relationship between public REIT implied cap rates and private market transaction cap rates.
- Utilize AI, Python, and/or SQL to clean, analyze, and visualize large datasets to support research conclusions.
- Financial Analysis, Modeling & Valuation
- Maintain and refine dynamic valuation models (NAV, cap rate, and related frameworks) for publicly traded REITs.
- Partner with content, product, and data collection teams to develop new research-driven products and use cases.
Requirements
- Required Skills
- 5-10 years of relevant experience in financial journalism, equity research, real estate investment analysis, real estate equity or debt underwriting, or related roles at a bank, insurance company, private equity firm, real estate broker, asset manager, or financial focused media.
- Deep expertise in publicly traded REITs or private real estate investing, with strong command of property-level fundamentals, submarket analysis, and valuation frameworks, including DCF, NAV, cap rates, FFO, and EPRA metrics.
- Proven track record of producing original, investment-oriented written research that influences decision-making.
- Strong financial modeling skills and proficiency in Excel and institutional data platforms.
- Clear, confident communicator with experience presenting complex ideas to senior leadership or external audiences.
- Experience with major estate data providers such as S&P Capital IQ Pro, CoStar, RCA, MSCI/RCA, or Green Street.
- SQL, python, or other data-focused technical skills.
- Demonstrated ability and willingness to leverage AI tools in research workflows.
- CFA, CPA, or advanced degree in Finance, Economics, or Real Estate.
- Prior exposure to thematic or macro-oriented real estate research.
Benefits
Additional Information
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. Your Team's Impact We are seeking a high-impact senior level Real Estate Analyst with deep expertise in publicly traded REITs, strong analytical rigor, and a demonstrated ability to produce differentiated, investment-relevant written research. This role sits at the intersection of real estate market dynamics, fundamental financial analysis, and sector-level insight generation. It is not a back-office or data-only role. You will be the primary research voice of the team-the "pen" that translates data into insights for our end users
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