Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Loan Processing Manager

Truehold · Jacksonville, FL

Truehold is one of the nation’s leading platforms at the intersection of real estate and finance, with 200+ employees operating across 15+ markets. As Truehold continues to scale, we are building a best-in-class mortgage operation focused on investor and DSCR lending combining institutional rigor with startup speed.

This is a high-impact operational leadership role within a rapidly growing business line. We are seeking a senior, entrepreneurial Processing Manager who not only executes loan files end-to-end with excellence, but also helps build and formalize the systems, SOPs, and infrastructure that will power the next stage of Truehold’s mortgage growth.

The ideal candidate thrives in fast-moving environments, takes full ownership of complex loan files, and is motivated to bring structure, consistency, and scalability to a developing platform.

Key Responsibilities

Operational Leadership & Process Development

  • Design, document, and continuously improve standard operating procedures (SOPs) for loan processing
  • Build scalable workflows, condition management frameworks, and documentation standards
  • Partner with leadership to establish KPIs, SLAs, and quality control benchmarks
  • Identify bottlenecks and recommend process enhancements to increase efficiency and reduce defects
  • Assist in selecting and optimizing technology tools, lender portals, and LOS workflows
  • Support onboarding and training of new processors as the team grows
  • Help establish best practices for communication cadence and milestone transparency

 

Loan Execution & Pipeline Management

  • Process DSCR and investor mortgage loans from initial disclosure through closing
  • Review, verify, and organize borrower, property, and third-party documentation to ensure complete and high-quality loan files
  • Calculate and validate DSCR metrics, rental income, and cash-flow inputs in accordance with lender guidelines
  • Submit loan files to underwriting and manage underwriting conditions through final approval and clear-to-close
  • Proactively identify and resolve issues to maintain timeline integrity and closing targets
  • Maintain accurate loan notes, document tracking, and status updates in the loan origination system and lender portals
  • Ensure compliance with investor requirements, internal policies, and regulatory standards
  • Serve as a senior point of contact for loan officers, wholesale account executives, underwriters, borrowers, title/escrow, appraisers, and third-party vendors

 

Required Qualifications

  • 4+ years of mortgage loan processing experience, with meaningful exposure to DSCR and investor loan products
  • Strong understanding of wholesale broker processes and lender portal submissions
  • Demonstrated ability to independently manage complex files and resolve underwriting challenges
  • Deep familiarity with investor documentation, rental income analysis, and cash-flow calculations
  • Proven experience improving processes or building documentation within a team
  • Exceptional organizational skills and attention to detail
  • Strong written and verbal communication skills

Preferred Qualifications

  • Experience with non-agency or non-QM investor lending 
  • Experience in a scaling or high-growth mortgage operation
  • Prior experience mentoring or training junior processors
  • Comfort operating in a startup-style, fast-paced environment

What Success Looks Like

  • Files move efficiently with minimal defects and reduced condition cycles
  • SOPs and workflows are clearly documented and adopted by the team
  • Turn times improve as volume scales
  • The processing function becomes repeatable, measurable, and scalable
  • Cross-functional stakeholders view processing as a structured and reliable partner

We Provide:

  • Competitive compensation and benefits
  • Marketing and brand presence in the investor ecosystem
  • Entrepreneurial environment with opportunity to grow with a rapidly scaling mortgage platform
  • Exposure to a high-volume investor and SFR lending ecosystem

Disclaimer: Due to the nature of this role, final candidates may be subject to additional background screening, including a credit report, where permitted by law