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 .

Pre Doctoral Research Fellow

Integra · Austin, Texas

This position is a unique opportunity to work alongside financial experts in conducting original finance and economic research. The position involves responsibilities that serve as excellent preparation for Ph.D. programs in finance or economics, including data processing and analysis, model design, simulation techniques, literature reviews, and presentations. The research fellows will work closely with Dr. John Griffin (and his co-authors) on research projects in forensic finance, blockchain and cryptocurrency, structured finance, or healthcare. Dr. Griffin is seeking applicants who are dedicated to rigorous research and motivated to study fraud. Research fellows are welcome to request recommendation letters from the financial experts with whom they work.  

Dr. Griffin is a leading expert in forensic finance, the James A. Elkins Centennial Chair in Finance at The University of Texas at Austin, McCombs School of Business, as well as CEO and president of Integra FEC. His expertise is in structured finance, credit ratings, international finance, and institutional investments with topics of papers including: the financial crisis, manipulation, cryptocurrencies, mortgage misreporting, credit ratings, insider trading, investment banking, corruption, trading behavior, and international finance. Dr. Griffin’s research has been extensively published and cited in top journals such as American Economic Review, Journal of Finance, Journal of Financial Economics, and Review of Financial Studies and featured in over 600 media outlets including BloombergWall Street JournalNew York Times, and Financial Times.  

Integra is a forensic data analytics firm that seeks to identify, investigate, and analyze securities and financial fraud. Integra’s clients include federal and state enforcement agencies. Integra has a team of experts comprising of leading academics and professionals with deep experience in trading markets, cryptocurrencies, structured finance, and credit ratings.

This is a one-year position based in Austin, TX, with the potential for a one-year extension.

Main responsibilities include:

  • Conducting research to develop and investigate hypotheses in forensic finance: topics may include cryptocurrencies, derivatives, or other complex financial instruments
  • Data extraction and processing: writing scripts to retrieve and organize data
  • Data analysis: analyzing large datasets to find insights and fraudulent patterns, by thoughtfully applying the appropriate tools and algorithms

The desired qualifications are as follows:

  • Bachelor's degree in mathematics, economics, computer science, statistics, engineering, physics, or other quantitative field
  • Demonstrated experience with Python and SQL, or R
  • Attention to detail
  • Intellectual curiosity and interest in fraud analysis
  • Highest ethical standards
  • Strong teamwork abilities
  • Prior research experience, either for independent research or as research assistant
  • Excellent grades
  • Potential interest in pursuing a Ph.D. in Finance, Statistics, Economics, or other quantitative field in the future.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.