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Saaf Finance

Saaf Finance

AI-driven mortgage data platform for underwriting

Mortgage Operations Analyst

Full-Time
No salary listed
Junior
Remote in India
Remote

Must work EST hours.

About the job

Requirements
  • At least 2 years of hands-on U.S. mortgage operations experience across processing, underwriting support, loan review, closing, or post-close functions.
  • Working knowledge of the full U.S. residential mortgage loan process across multiple tasks and document types.
  • Hands-on experience with Encompass Loan Origination System, which will be validated in a live test.
  • Familiarity with mortgage documentation, disclosures, and loan file review.
  • Ability to calculate income across wage-earner, self-employed, and bank-statement employment types and validate assets and reserves.
  • Strong attention to detail, analytical skills, and problem-solving ability.
  • Excellent written and verbal English communication skills, including the ability to comprehend complex instructions and communicate clearly with U.S.-based teams.
  • Proficiency in Microsoft Excel and Microsoft Office.
  • Ability to manage multiple loan files independently and meet deadlines in a fast-paced remote environment.
Responsibilities
  • Review residential mortgage loan files at every stage of the loan lifecycle, including pre-closing and post-close.
  • Validate borrower documentation, including income, assets, credit, collateral, and supporting documents.
  • Calculate qualifying income across different documentation types and validate reserves and source of funds.
  • Review and prepare Initial Disclosures for accuracy, completeness, and regulatory compliance.
  • Identify and resolve missing documentation, data discrepancies, compliance gaps, and process issues with the appropriate stakeholders.
  • Respond to and clear underwriting conditions, including conditions flagged by artificial-intelligence-driven underwriting systems.
  • Work inside Encompass Loan Origination System to review, update, and validate loan information, manage milestones, and order services.
  • Communicate with internal teams and, where required, borrowers to collect outstanding documentation.
  • Document findings and actions accurately in internal systems.
  • Contribute to continuous process improvement and quality assurance efforts.
Desired Qualifications
  • Exposure to Non-QM, DSCR, or RTL loan products.
  • Exposure to Agency, Government, or Conventional loan products.
  • Experience reviewing Initial Disclosures and mortgage compliance documentation.
  • Understanding of TRID, RESPA, TILA, or other mortgage regulatory frameworks.
  • Prior remote mortgage operations experience.

About the company

Saaf Mortgage AI builds a data platform that automates key steps in the mortgage loan lifecycle. Its AI engine, trained on over 200,000 real loan packages, extracts, indexes, and structures data from mortgage files to create a verifiable source of truth. The platform offers an AI underwriting co-pilot for lenders to speed decisions (under 30 minutes) and automated pre-diligence, data checks, and re-underwriting for aggregators and investors. It is offered as SaaS to help compliance, audits, and faster, data-driven deal closes.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

2022

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Simplify's Take

What believers are saying

  • Saaf reported active hiring in 2026 for engineering and capital-markets roles.
  • Plaid-linked income, assets, liabilities, identity, and transactions data improves underwriting utility.
  • Mortgage diligence customers value faster decisions; Saaf targets minutes instead of days.

What critics are saying

  • Saaf remains bootstrapped; Uplers says no external investment, limiting sales and R&D runway.
  • Only 19 employees and many open roles signal execution strain versus better-capitalized mortgage AI rivals.
  • If lenders adopt native LOS automation, Saaf’s standalone data layer becomes a replaceable middleman.

What makes Saaf Finance unique

  • Saaf’s 200K-loan-package engine creates source-of-truth mortgage data faster than manual QC.
  • MISMO membership and Plaid integration strengthen data interoperability and verification for lenders.
  • Inglet Blair partnership extends Saaf into diligence and re-underwriting workflows.

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Benefits

Unlimited Paid Time Off

Remote Work Options

Flexible Work Hours

Professional Development Budget

Home Office Stipend

Hybrid Work Options

Growth & Insights

Headcount

6 month growth

9%

1 year growth

9%

2 year growth

9%