Published • loading... • Updated
Service 1st’s Lisa Binkley named Women of Mortgage Tech Award winner by Mortgage Women Magazine
The award honors leaders advancing mortgage technology through innovation, leadership and industry impact, Mortgage Women Magazine said.
- On Wednesday, May 20, 2026, Service First Information Solutions announced that Chief Operations Officer Lisa Binkley was named a 2026 Women of Mortgage Tech award winner by Mortgage Women Magazine.
- The award recognizes individuals shaping the future of mortgage technology through innovation and leadership, reflecting Binkley's decades of experience developing solutions that transform mortgage operations.
- Binkley emphasizes a 'human-in-the-loop' approach, pairing automated systems with expert review to improve data accuracy and consistency while helping lenders scale operations and maintain compliance.
- "This award reflects Lisa's deep expertise and commitment," said Curtis Knuth, CEO of Service First, noting her role in navigating evolving regulatory and fraud prevention environments.
- By fostering standard-setting collaboration, Binkley continues to influence the future of mortgage technology and operational efficiency across the broader mortgage ecosystem.
Insights by Ground AI
11 Articles
11 Articles
Service 1st's Lisa Binkley named Women of Mortgage Tech Award winner by Mortgage Women Magazine
HAMMONTON, N.J., May 20, 2026 (SEND2PRESS NEWSWIRE) -- Service First Information Solutions, LLC (Service 1st), a leading provider of credit reporting and verification solutions for the mortgage industry, announced today that Lisa Binkley, Chief Operations Officer, has been named a Women of Mortgage Tech award winner by Mortgage Women Magazine for 2026. The award recognizes individuals shaping the future of mortgage technology through innovation,…
·United States
Read Full ArticleCoverage Details
Total News Sources11
Leaning Left5Leaning Right2Center3Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 30%
R 20%
Factuality
To view factuality data please Upgrade to Premium
