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 Developer

Miopartners · New York

MIO Partners, Inc. (MIO) provides proprietary investment products to McKinsey’s retirement plan and partners and offers independent, high-quality financial advice to McKinsey’s partners. We manage a wide array of investment vehicles with significant expertise and a long and successful track record in alternative strategies, including hedge funds and private equity. We have a multibillion-dollar portfolio of assets under management, and we manage assets for and advise only McKinsey-related clients; we do not accept outside or third-party investments.  

MIO is a values-based organization that is strongly aligned with our investors’ interests. MIO measures success as performance relative to a market-based benchmark.  

MIO, a 250+ person registered investment adviser, provides ample opportunities for somebody with an entrepreneurial drive to shine. We strive to meet the highest professional standards and build an organization that attracts, develops, and retains exceptional people. MIO is a wholly owned subsidiary of McKinsey, but our activities are kept entirely separate from those of the consulting Firm. 

 

Position

MIO’s Portfolio Analytics Group is seeking a Quantitative Developer with exceptional quantitative development and problem-solving skills. The ideal candidate will approach risk in a structured, logical, and qualitative manner as a foundation for robust quantitative analysis and will be an effective communicator. While systems developments and maintenance will be core responsibilities, the successful candidate will exhibit the intellectual curiosity, analytical capability, and process-oriented mindset to contribute beyond pure development.

 

The Group

The Portfolio Analytics Group (PAG) core function is to provide decision support to the Investment team by (i) maintaining and evolving MIO's manager selection analytics and (ii) provisioning data and using data-driven analytics to create an edge in our investment processes. In addition, the group provides input on various ad-hoc analyses that support our CIO and portfolio managers in our manager selection investment process. The group also acts as the fundamental center of competence, producing routine performance and risk reports for Risk and Advisory. The PAG team co-owns MIO's attribution system, which is central to managing our investment team and systemic risks across our portfolio.

 

Primary responsibilities

  • Enhance, support, and take ownership of existing systems and applications
  • Develop and maintain systems which require ongoing troubleshooting and quality assurance
  • Ensure consist and accurate risk and performance data published by the Risk team
  • Work on multiple projects simultaneously, including new development, quality assurance, and ad hoc data analysis
  • Create associated documentation of designed frameworks, systems, data, and report generation
  • Provide recommendations on improved calculations, methodologies, systems, and automate processes

 

Desired Background

  • Bachelor’s degree in Electrical Engineering, Computer Science, Math, Physics, Economics, Finance, or Operations Research
  • Graduate degree in Finance or quantitative discipline is desirable; equivalent practical professional experience is also suitable
  • 1-3 professional experience with exposure to risk or asset management exposure
  • FRM or CFA level 1 (or higher) preferred, particularly for candidates without prior risk or asset management experience
  • Strong programming skills, especially with Python (including Pandas and NumPy)
  • Solid understanding of data base design and SQL; familiar with Excel/VBA or Tableau is a plus
  • Experience with Risk Metrics preferred
  • Self motivated with an ownership mindset
  • Strong attention to detail with a natural curiosity and ability to dive deep into complex problems

Applicants must be authorized to work in the U.S. without the need for employer-sponsored work authorization, now or in the future.

Certain US states require MIO Partners, Inc. to include a reasonable estimate of the salary range for this role. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to an individual’s assigned office location, experience, and expertise. Certain roles are also eligible for bonuses, subject to MIO’s discretion and based on factors such as individual and/or organizational performance. Additionally, MIO offers a comprehensive benefits package, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement program, financial guidance, and paid time off.

Base salary range
$140,000—$140,000 USD

MIO Partners, Inc. (MIO) is an equal opportunity employer. MIO will consider all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.  

We are committed to protecting your privacy. Please review our Applicant Privacy Policy for a detailed explanation of how we collect, use, and protect your personal information.

 

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