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Ocrolus

AI-powered document data extraction with human-in-the-loop

Mortgage Production Analyst

Retail & Commercial BankingPosted on Nov 11
Full-timeNo salary listed

About the Job

Requirements

  • At least 6 years of mortgage underwriting experience, including FHA and VA.
  • Skill in reviewing borrower documentation, including W-2s, tax returns, pay stubs, self-employment income, appraisals, and title documentation.
  • Strong expertise in income analysis, credit evaluation, and automated underwriting system findings.
  • Technology savvy.
  • Strong documentation skills and attention to detail.

Responsibilities

  • Apply knowledge of Fannie Mae, Freddie Mac, FHA, VA, and USDA guidelines to quality-control mortgage applications.
  • Review borrower documentation, including income, assets, credit, collateral, and automated underwriting system findings; confirm correct data extraction and classification and correct application of underwriting rules within the product, including income calculator outputs.
  • Identify errors, omissions, inconsistencies, and guideline exceptions that require correction or further review.
  • Make necessary updates to ensure accurate and complete results.
  • Meet established standards for accuracy, turnaround time, and productivity in a real-time production environment.
  • Identify recurring error patterns and share actionable feedback with underwriting team leadership.

Desired Qualifications

  • Experience with fintech or SaaS mortgage tools.
  • Familiarity with automated income calculation or verification platforms.

About the Company

Ocrolus

AI-powered document data extraction with human-in-the-loop

Ocrolus offers a software-as-a-service platform that turns documents into structured data for back-office tasks in financial services. It analyzes various documents—bank statements, pay stubs, IDs, tax forms, mortgage papers, and invoices—to extract data for underwriting, processing, and compliance, with fraud checks. The system uses AI to extract data and employs human reviewers in a loop to verify results, improving accuracy over time. By combining machine intelligence with human oversight, Ocrolus provides end-to-end automation for loan underwriting, mortgage automation, SBA PPP processes, invoicing, and KYC/auditing, aiming to reduce manual data entry, speed decisions, and strengthen regulatory compliance.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$139.3M
Headquarters
New York City, New York
Founded
2014

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