Companies ranked by net loan officer gain, with gained and lost counts and the production of the loan officers they added.
Your assistant runs these steps against Model Match through the MCP:
Recruiters / Business Development
Show me the highest-producing loan officers in Florida who changed companies in the last 3 months, with where they came from, where they went and their trailing volume.
Recent movers with previous and new employer, move date, city and trailing volume and units.
Recruiters / Business Development
For competitor name, show the net change in LO headcount over the last 12 months, which companies its hires came from and where its departures went, and what share of new hires left within 90 days.
Headcount over time, top source and destination companies, and early attrition by hire cohort.
Recruiters / Business Development
Over the last 6 months, how many loan officers left competitor name, and which companies did they join? Also tell me how many left the industry entirely.
A departure count, the companies they joined, and how many moved companies versus left the industry.
Connect the Model Match MCP to your AI assistant and ask about loan officers, agents, lenders and markets in plain English, answered from real records.
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