Overview
This role is the primary engine for pricing conviction—translating complex market signals into high-stakes strategies for institutional partners. The work is not back-office reporting; you will own pricing outcomes end-to-end for your portfolio.
You will lead pricing deliverables such as CMAs and Listing Price Reviews (LPR), using market data and judgment to recommend prices that balance velocity with partner yield. Success looks like diagnosing underperformance early and correcting pricing before listings stall, while defending recommendations to skeptical stakeholders and improving days-on-market (DOM) and portfolio clearance.
Responsibilities
- Synthesize disparate data—including AVMs, market trends, and rehab economics—into clear, defensible valuation strategies and pricing conviction.
- Independently execute the Listing Price Review (LPR) cadence by:
- Identifying underperformance
- Deploying pricing corrections that maximize velocity and clearance
- Surface pricing patterns and insights to reduce repeat mistakes and improve portfolio performance.
- Partner with Brokerage, Operations, and Engineering to scale pricing intelligence, including feedback loops and real-world edge cases.
- Proactively mitigate portfolio risk by anticipating market shifts and adjusting strategies across multiple regions before they impact results.
- Prefer standard reporting over exploratory data analysis, while actively asking “why” the data is moving—not only “what” the numbers are.
- Translate complex rehab economics and market trends into a narrative stakeholders can trust and rally behind.
Requirements
- 3+ Years of experience in Real Estate or Finance.
- Deep background in real estate (ideally SFR or REITs), including a track record of closed deals where pricing accuracy was a primary driver of success.
- Ability to interrogate data: interpret AVMs and market signals critically, recognize misleading comps, and make high-conviction calls even when data is messy or incomplete.
- Institutional-level thinking: analytical rigor to balance individual asset performance with broader clearance goals and partner yield strategies.
- Bias for action: independently run LPR cadence and proactively correct underperforming assets.
- Comfort defending recommendations to smart, skeptical stakeholders.
- High proficiency with key metrics, including Days on Market (DOM), price-to-close ratios, and trend analysis.
- Experience leveraging AI-driven tools to sharpen pricing insights.
- Experience managing and extracting insights from large, multi-market data sets, using data visualization or advanced reporting tools to identify macro-trends that impact local pricing strategies.
Preferred Qualifications
- Deep familiarity with the Single-Family Rental asset class and how it differs from traditional retail real estate.
- Experience with yield metrics (Cap Rates, IRR) and understanding of how pricing impacts an institutional fund’s bottom line.
- Ability to use Excel or internal tools to forecast outcomes based on various pricing scenarios.
- Experience with data manipulation tools (e.g., SQL, Python, or advanced Tableau/PowerBI) to automate reporting or conduct deep-dive analysis into portfolio performance.
- Proven ability to build scalable reporting frameworks that translate raw data into actionable business intelligence for executive leadership.
Compensation & Benefits
- Compensation and benefits details were not provided.
Location
- Location details were not provided.
Equal Opportunity & Accommodations
The organization is committed to fair and open hiring practices and evaluates candidates based on qualifications without regard to race, color, religion, national origin, age, gender, marital status, disability, veteran status, sexual orientation, gender identity, or any other protected status.
Reasonable accommodations are available throughout the recruitment process for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws.