Director, Investment Research

Location

Charleston - 997 Morrison Drive, Suite 402

Business

Our Growth, Your Opportunity

At Maymont Homes, our success starts with people, our residents and our team. We are transforming the single-family rental experience through innovation, quality, and genuine care. With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued expansion on the horizon, we are more than a leader in the industry—we are a company that puts people and communities at the heart of everything we do.

As part of Brookfield, Maymont Homes is growing quickly and making a lasting impact. We are also proud to be Certified™ by Great Place to Work®, a recognition based entirely on feedback from our employees. This honor reflects the culture of trust, collaboration, and belonging that makes Maymont a place where people thrive.

Join a purpose-driven team where your work creates opportunity, sparks innovation, and helps families across the country feel truly at home.

Job Description

Position Summary

The Director of Investment Research is responsible for independently scoping, executing, and delivering investment-grade research that translates complex demographic, macroeconomic, and market data into specific, actionable capital deployment opportunities. This research forms the foundation for the analytics and decision-support tools that enable the organization to make faster, smarter, and more informed decisions, primarily supporting investment decisions but also operational workflows. This role defines the requirements for those tools and partners with data science and engineering colleagues to bring them to life. The role will partner closely with Investments, Asset Management, Finance, Revenue Management, and Executive Leadership, in particular the CEO and CIO of Maymont.

The ideal candidate combines strong quantitative and research capability with financial and strategic thinking. This individual is equally comfortable making sense of complex and ambiguous data, analyzing investment opportunities, evaluating housing markets, applying mid-level econometrics, and presenting crisp analytical insights to executive leadership. They are technically fluent enough to collaborate credibly with data science and engineering teams and to program-manage analytical work without needing to serve as the engineering lead. Success in this role requires curiosity, business acumen, and the ability to transform complex data into actionable investment recommendations.

More specifically, the candidate has the intellectual range to receive a thesis-level research question, such as “where should we be investing given the silver tsunami demographic shift?” and return within roughly two weeks with substantial progress on that question, potentially a geospatial analysis, an emerging investment thesis, and/or a recommended MVP approach, delivered as a decision-ready briefing. Once the approach is reviewed and approved by leadership, this person would advance it further by prototyping in AI-assisted tools such as Claude Code and then scope and build alongside our data science and engineering teams.

  

Essential Job Functions

• Own a self-managed research roadmap driven by senior executive priorities, conducting independent deep-dive research sprints (typically 1-3 weeks) that deliver investment-grade analysis spanning full U.S. Housing platform: single-family rental, build-to-rent, senior housing, affordable housing, manufactured housing, and market-rate multifamily.
• Define the requirements for dynamic tools within our proprietary analytics application, for example, specifying how a geospatial demographic analysis should become an interactive heat map that enables platform-level investment decisions, and partner with the data science and engineering teams that build them. Set the standard for what good looks like and program-manage the effort to delivery.
• Build working MVPs and prototypes-leveraging AI-assisted development tools such as Claude Code and working proficiency in Python-that validate an approach and can be handed off to the engineering team to harden and productionize.
• Analyze housing market trends, demographic shifts, competitive positioning, and macroeconomic factors impacting investment performance.
• Respond to ad hoc analytical requests from leadership with fast, rigorous turnarounds. For example, identifying markets / areas that should out-perform by identifying demographic shifts to product types, and then packaging the findings into succinct, actionable, decision-ready output.
• Translate complex analytical findings into concise recommendations for executive leadership and investment teams.
• Partner with Data Engineering to ensur