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 Researcher

Aquaticcapitalmanagement · Chicago, New York, London

Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world’s most competitive arenas—global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence. 

Aquatic is looking for exceptional Quantitative Researchers to create and improve proprietary trading models and strategies while working closely with engineers and senior leaders across the firm.  Quantitative Researchers within Aquatic work on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time.

Specific responsibilities range from utilizing financial and other data in an effort to create or improve predictive models, developing and/or leveraging leading-edge statistical and machine-learning models to enhance the research and development system, creating algorithms to monetize the predictive signals.

Technical requirements:

  • At least 4+ years of full-time professional experience
  • Bachelors, Masters, PhD or Postdoc candidates in finance, computer science, mathematics, statistics, machine learning, physics, or other scientific discipline
  • Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
  • Demonstrated ability to complete high level, statistical or applied mathematical research
  • Prior experience in a quantitative role within a trading environment a plus
  • Experience in solving highly complex, data intensive problems
  • Programming proficiency in any of the following: Python, C++, Java or R

Behavioral requirements:

  • Strong research hygiene
  • Self-motivated and highly-productive, with a strong sense of ownership and urgency
  • Intellectually curious, creative, and rigorous
  • Excellent communication and collaboration skills
  • Meticulous attention to detail
  • Able to work across disciplines
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Driven and tenacious approach with desire to build something scratch

The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

Benefits:

  • Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance 
  • Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
  • Development: Open environment to maximize learning and knowledge sharing
  • Time: Generous PTO, paid holidays, competitive paid caregiver leaves

Aquatic Capital

This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination.

Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.