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 .

Senior Quantitative Researcher – Risk System Lead

Bracebridgecapital · Boston, MA

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management.  The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets.  Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.

Approximately 160 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here.

Bracebridge Capital seeks a Senior Quantitative Researcher – Risk System Lead with substantial hands-on experience building fixed-income pricing and risk systems in C++.
This is a senior, production-focused quant role requiring deep familiarity with rates, credit, correlation, and ABS modeling, as well as risk system architecture. Candidates without direct, professional experience managing, developing and maintaining fixed-income analytics in production environments will not be considered.

The Risk System Lead will report to the Director of Research and will own all aspects of the firm’s daily risk process, collaborating with Portfolio Managers and Researchers across strategies.

Primary Responsibilities:

  • Lead and manage the development/enhancement of the in-house fixed income pricing platform used for portfolio and risk management
  • Develop a comprehensive understanding of and own the daily scenario-based Risk System production process, including model development, data pipelines, database structure, C++ analytics, and report generation
  • Identify and explain sources of large daily sensitivity and scenario PL changes and discrepancies
  • Build accountability-based business process to monitor daily Risk System runs, utilizing Researchers and Quantitative Developers
  • Pinpoint issues with data and/or analytics and direct junior members of the group to resolve them
  • Implement and manage the changes and enhancements to the models, scenario definitions and other parts of the risk system to incorporate new state variables and risk factors
  • Collaborate with Portfolio Managers on pricing and scenario analysis for rates, credit, and ABS positions

Qualifications:

  • MS or more advanced degree in Computational Finance/Financial Mathematics/Financial Engineering
  • Minimum 5 years of professional experience implementing fixed-income pricing models for products in rates, credit, correlation and ABS space
  • Substantial experience with C++ programming, including responsibility for production and maintenance of fixed-income analytics libraries
  • Proven track record in risk system architecture and scenario-based portfolio analytics
  • Familiarity with complex fixed-income instruments and valuation approaches, including loan portfolio pricing models, strongly preferred 
  • Solid understanding of risk management concepts, including sensitivity analysis, stress testing, and P&L attribution
  • Demonstrated ability to communicate effectively with portfolio managers, traders, and quantitative teams
  • Proven ability to work independently and deliver results in a fast-paced, collaborative research environment

Current anticipated annual base salary range: $200,000 - $300,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.