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 .

Quantitative Data DevOps

Susquehanna International Group · Dublin

Overview

 

The Quantitative Engineering and Data group in Dublin is a new group focused on developing tools, processes and datasets to enable revenue generation using data at Susquehanna. We partner with Quantitative Researchers, Traders and other engineering teams in Dublin and across the globe. The QED Dublin group is on an exciting strategic mission that will transform the speed of innovation of the business.

 

 

Job Summary:

 

You will work closely with the global engineering and DevOps resources to develop and operate the data processing systems that are a critical dependency for trading and quantitative research. The primary focus of the role is to improve the reliability and operational effectiveness of the data processing systems. You will also be critical in the productionisation of new datasets that unlock revenue for the business. The QED Dublin group is part of a global QED team that operates a follow-the-sun model for operations.

 

  • Member of the Quantitative Engineering and Data group
  • Responsible for the operations of critical QED data processing systems.
  • Driving change that improves the uptime and reliability of systems, including configuration and development work where appropriate.
  • Act as an ambassador for excellence by ensuring change into the system is of a high quality, and fits into the QED global operating model.
  • Member of global follow-the-sun team, acting during EMEA hours.
  • Develop expertise in Susquehanna’s systems and business.

 

 


What we're looking for

What we’re looking for:

  • Professional operations mindset coupled with practical development experience to improve systems.
  • Degree in a numerate subject.
  • Evidence of taking accountability for system delivery.
  • 2+ years professional experience using Python as a scripting language for orchestrating processes and systems.
  • Experience with Airflow and other industry standard tooling for orchestration would be beneficial.
  • Experience working in a Linux environment.
  • The ability to self-manage, self-motivate, and seek process improvement opportunities.
  • Strong interpersonal and communication skills that enable you to collaborate effectively in a complex domain.
  • Attention to detail and ability to react to changing priorities.
  • A general interest in quantitative trading.