OneMain Financial Jobs

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.

Location: Austin | Boston | Charlotte | Chicago | NYC | Norwalk CT | Youngstown OH | London

Working Environment: Hybrid

About the Role

We are seeking a senior Property Data SME to design, build, and scale a best-in-class "Single Source of Truth" for global property data. This role sits at the intersection of real estate domain expertise and data architecture, with responsibility for integrating siloed datasets into a single, consolidated property-level platform.

What You'll Do

• Define and own the property data model, including entities, relationships, and identifiers across assets, owners, and transactions.
• Design scalable data models for real estate data, including transactions, financial data, and geospatial information.
• Focus on data architecture and modeling, data integration, and governance in a real estate context.
• Partner closely with engineers to guide database architecture decisions and ensure delivery of intended outcomes.
• Translate business and data requirements into clear technical specifications for engineering teams.
• Lead the integration of multiple internal and external datasets into a unified, scalable property database.
• Serve as the domain expert on publicly traded REITs and major property owners.
• Establish standards for property classification, operating metrics, and valuation frameworks.

• Define and monitor data quality and completeness metrics

   

What We Are Looking For

Required Skills

• Bachelor's degree
• 8+ years of relevant experience in similar roles at real estate data firms (such as Trepp, RCA, Green Street, CoStar), real estate prop tech firms such as Zillow, real estate development / management companies, or private equity firms.
• Proven experience designing and maintaining property-level databases, including schema design and data normalization.
• Demonstrated ability to integrate and reconcile siloed datasets into a consolidated, production-grade database.
• Deep knowledge of publicly traded REITs, property owners, and key real estate data sources.
• Strong understanding of property types, operating metrics (e.g., NOI, occupancy, rent), and valuation metrics (e.g., cap rates, LTV, DSCR).
• For U.S. candidates, must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Desired Skills

• Strong technical and database skills, with the ability to effectively communicate with and manage engineering teams.
• Track record of delivering scalable data platforms in a complex, cross-team environment.
• Experience with major estate data providers such as S&P Capital IQ Pro, CoStar, RCA, MSCI/RCA, Trepp or Green Street.
• SQL, python, or other data-focused technical skills.

• Demonstrated ability and willingness to leverage AI tools in research workflows.

   

The budgeted amount range for this position in the State of Connecticut and in New York City is $120K- $150K. Please note: the salary range may differ in other locations or countries

What's In It For