About this event
The Non-QM opportunity is real. But where is it in your market, and who's already winning it?
We'll show how Polygon Research identifies and classifies Non-QM loans using public data, and what that reveals about market structure, pricing, competition, and borrower profiles nationally and locally.
Joined by mortgage consultant Dana Georgiou, who advises small and mid-sized lenders on Non-QM strategy and operations, we'll walk through a repeatable framework for analyzing Non-QM in your market—loan-level characteristics, pricing patterns, competitive positioning, and the demographic factors driving demand.
You'll learn:
- How Non-QM is identified at the loan level (interest-only, balloon, alt-doc, DTI)
- Market structure: product mix, pricing dynamics, competitive landscape
- How to use Census data to contextualize local demand
- How to assess whether Non-QM fits your business model and where to focus
Who Is This For?
- Lenders and brokers exploring or expanding Non-QM
- Executives evaluating Non-QM as a growth opportunity
- Product and sales leaders targeting Non-QM segments
- Anyone wanting data-driven clarity on Non-QM market opportunity
Hosted by
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Team member
Greg Oliven CTO @ Polygon ResearchT
As the Chief Technology Officer at Polygon Research, Greg Oliven leads software, cloud, and data science teams to transform complex mortgage data into actionable intelligence. With a Cornell BA and Maryland MBA, he leverages technical acumen to drive innovation and scalable cloud solutions.
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External speaker
Dana Georgiou Founder & CEO @ Lending LuminaryE
Dana Georgiou is a mortgage advisory expert specializing in fractional leadership for small to mid-sized lenders. She provides strategic support across sales, operations, and secondary markets, while optimizing tech stacks, policy, and marketing to drive growth. A true expert in mortgage consulting.
Polygon Research
The Shape of Mortgage IntelligenceHosted by Polygon Research
Polygon Research builds interactive mortgage market intelligence dashboards using loan-level open data (HMDA, MBS, and more) to help lenders, credit unions, researchers, and regulators perform market analysis in minutes—without downloads, IT setup, or guesswork.
