For mortgage teams
Hire your next loan officer, processor or underwriting support without reading 80 resumes
Mortgage hiring has its own tells — real NMLS licensing, LOS software fluency, how someone actually handles a tight closing timeline. ReqGenius screens for those, not just keyword matches, and interviews your best candidates by AI before you spend an hour on a phone screen.
Built for how you actually hire
Three roles, three different interviews
The AI interview is generated from your job description, so a loan officer posting and a processor posting ask genuinely different questions — not the same generic screen with the title swapped.
Loan officers
The AI interview walks candidates through explaining a rate-lock delay to a nervous borrower, scoring how they'd actually handle it — not just whether they hit a production number last year.
Loan processors
Screens for LOS software fluency and documentation-gap language, then the interview probes how a candidate spots a missing condition before it reaches underwriting.
Underwriter assistants
Scored on conditional-approval and compliance language in context, interviewed on prioritizing a file against a tight closing deadline.
Job titles we screen for
Mortgage roles we're built around
Every title below gets its own criteria — tap one to see what the resume screen and AI interview actually look for.
Loan Officer
The AI interview walks candidates through explaining a rate-lock delay to a nervous borrower, scoring how they'd actually handle it rather than whether they hit a production number last year. The resume screen reads NMLS license status and state directly from the text, not assumed from a job title.
Underwriter Assistant
Scored on conditional-approval and compliance language in context, interviewed on prioritizing a file against a tight closing deadline. Candidates who've cleared conditions under a real deadline score differently than someone who's only done data entry.
Closing Coordinator
Screened for closing-disclosure timeline discipline and how they'd handle a title issue discovered days before closing — a scenario the AI interview covers directly. Coordination experience across lenders, title and escrow is weighted over generic scheduling work.
Mortgage Underwriter
Checked for investor-guideline fluency (conventional, FHA, VA) specific to what your pipeline actually originates, not a generic 'underwriting experience' match. The interview walks through a borderline file and how they'd document the decision.
Loan Processor
Screens for LOS software fluency (Encompass and similar platforms) and documentation-gap language, then the interview probes how a candidate spots a missing condition before it reaches underwriting. Pipeline-volume language is read in context rather than taken as a single number.
Mortgage Loan Originator (MLO)
Checked for active NMLS licensing in the state the role requires, plus production history read in context rather than a single headline number. The interview covers a scenario where a pre-approved borrower's rate changes mid-process.
Branch Manager / Sales Manager
Scored on how they'd coach a loan officer through a slow pipeline month, on top of their own production and licensing history. The interview includes a scenario about balancing compliance requirements against a team under pressure to close volume.
Post-Closing / Quality Control Specialist
Resume screen looks for investor-audit and compliance-review experience, read in context rather than a checkbox. The interview covers finding a documentation gap after closing and how they'd handle the correction process.
What the screen actually looks at
The details a generic ATS skims past
Most applicant tracking systems were built for generic office roles and treat a mortgage resume like any other. ReqGenius's resume parser is pointed at your job description, so it reads for what actually predicts success in a licensed, deadline-driven role.
- NMLS license status and the state it's held in, read directly from the resume text — not assumed from job titles
- Loan origination system experience (Encompass and similar LOS platforms) instead of a generic "mortgage software" keyword match
- Pipeline and closing-ratio language read in context, not taken as a single headline number
- Documentation and conditions-clearing discipline for processor and underwriting-support roles
Questions mortgage teams ask
Before you post your first role
Can ReqGenius verify NMLS licensing?
It reads what the resume and pre-screen answers say about license status and flags it for you to verify against the NMLS registry before you hire. ReqGenius doesn't run an independent license verification check.
Does this work for both loan officers and operations roles (processor, underwriter assistant)?
Yes — each job description you write (or have ReqGenius's JD Writer draft) sets its own criteria, so a loan officer posting screens for licensing and production language and a processor posting screens for LOS fluency and documentation discipline, independently of each other.
We hire in bursts tied to rate cycles. Does Per Role or Always-On make more sense?
If you're filling one or two seats in a cycle, Per Role ($249, 45-day window) covers that with nothing to cancel afterward. A shop hiring loan officers or processors continuously usually comes out cheaper per hire on Always-On ($299/mo, 3 roles open at once).
Can a branch manager see candidates across every open role?
Always-On includes unlimited team seats, so a branch manager or ops lead can see every open role and candidate in one dashboard rather than tracking separate inboxes.