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, Systematic Equities

Millennium Management · Dubai, United Arab Emirates

Quantitative Developer, Systematic Equities

Job Description: Quantitative Developer, Systematic Equities

Please direct all resume submissions to [email protected] and reference REQ-26457 in the subject.

Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

Job Description

We are seeking a highly skilled and entrepreneurial Lead Software Engineer to architect, build, and scale the core trading infrastructure for a newly formed quantitative trading pod. You will lead the design and deployment of systems that support systematic strategies operating across global markets and time zones.

This is a hands-on leadership role at the intersection of technology, research, and trading - you'll collaborate directly with quantitative researchers and the Senior Portfolio Manager to turn ideas into production-ready strategies.

The pod is led by a Senior Portfolio Manager with 15+ years of experience and a proven track record in alpha generation, strategy development, and risk management at top-tier quant firms. This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment.

Location

Dubai

Principal Responsibilities

  • Technical Leadership & Architecture

    • Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management

    • Make decisions on technology stack, performance optimization, and scalability

    • Ensure the system supports reasonable latency, high-throughput, and fault-tolerant trading

  • Team Leadership & Collaboration

    • Help recruit and Lead a small team of developers (sometimes quants as well) within the pod

    • Work closely with the quant researchers and traders to understand strategy requirements and translate them into code

    • Prioritize tasks and mentor junior developers or quant devs

  • Strategy Implementation Support

    • Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)

    • Translate researchers' prototypes (e.g., in Python) into production­ grade code, often in C++, or C# for latency-sensitive components

  • Execution & Infrastructure

    • Optimize and support order execution systems, integrating with various exchanges or broker APIs

    • Implement real-time risk checks, monitoring, logging, and alerting tools

  • Data Engineering & Management

    • Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)

    • Ensure data integrity and low-latency access for trading and research

  • DevOps & Reliability

    • Often take responsibility for deployment pipelines, version control, and production support

    • Ensure high system availability and rapid recovery in case of failures

  • Security & Compliance

    • Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards

    • Ensure rigorous version control, code quality, and documentation standards

    • Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.

Required Technical Skills

  • 1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field

  • Fluency in C++ or C# for performance-critical systems

  • Proficiency in Python, especially for scripting, research integration, and data tools

  • Solid understanding of algorithms, data structures, and multithreaded/concurrent programming

  • Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)

  • Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc.

  • Strong troubleshooting skills across distributed systems

Required Experience

  • 3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment

  • Proven experience in:

    • Handling large-scale market data (e.g., normalization, feed handling, replay systems)

    • Order routing and exchange connectivity, including FIX protocols and direct market access (DMA)

    • Building event-driven architectures and real-time systems with tight SLAs

    • Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments

Highly Valued Relevant Attributes

  • Excellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisions

  • Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting

  • Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights