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 .

Strategy Developer, HFT - UK

Aurosglobal · Remote - UK or Europe

We are Auros!

We are a high-frequency trading firm operating 24/7/365 in the global cryptocurrency market, with offices in New York and Hong Kong. The team consists of world-class talent and spans 5 continents. We are one of the largest participants in the market, trading a significant share of market turnover. Our team is always iterating to ensure we stay ahead of the curve.

What you’ll do:

This is an opportunity to develop trading strategies within the cryptocurrency markets. We are looking for someone to work with one of our traders who is based in the US, and as such we're looking for someone who is either based in the US, or in a US compatible timezone. You will work remotely most of the time, and so we are flexible to your exact locale. In general, you will develop and support systems that trade on cryptocurrency exchanges across the globe. In particular, you will:

  • Transform trading opportunities into profits. That is, improve and invent trading and market making strategies while minding risk and any market-making obligations. You will oversee the entire process, including problem identification, analysing data, writing software, and providing ongoing support.
  • Improve and develop systems for automated monitoring of 24/7/365 trading.
  • Develop C++ and Python applications that leverage internally-developed, normalised interfaces for market data and order execution.
  • Work with both existing codebases and new ones.
  • Collaborate closely with others. The business, development, and trading teams regularly work in concert with each other.
  • Monitor trading, especially of new algorithms, and ensure that our systems are performing as desired from a technical, risk, and profit perspective.
  • Use your experience working directly with trading teams to identify and surface opportunities to improve Auros’s technical systems and architecture.
  • Engage with the team during system design discussions, code reviews, trading idea brainstorms, and general banter.

Requirements:

  • Experience developing high-performance trading strategies for trading and especially market making in traditional or cryptocurrency markets.
  • Experience with low latency trading algorithms, market making and/or high frequency arbitrage, including an understanding of risks associated with managing a portfolio.
  • At least three years of experience in developing clean, maintainable, and performant code in C++ on Linux.
  • Experience with latency-optimised, distributed systems that are built to robustly handle many transactions.
  • Ability to find a balance between delivering clean, testable, reliable code and rapidly deploying new system features to take advantage of market opportunities.
  • You are reliable, take pride in delivering robust software, and willing to be on call to support the systems you develop.

Highly Desirable:

  • A thorough understanding of network programming, namely UDP, TCP, TLS, and Websockets.
  • Experience profiling C++ code with any of Cachegrind, Valgrind or other profiling tools.
  • Experience configuring and monitoring Linux machines.
  • Experience with inter-process messaging via shared memory.
  • Experience with cloud computing infrastructure such as AWS.