Full-Time

Loan Officer

Digital DSCR & Business-Purpose Loans

Saaf Finance

Saaf Finance

11-50 employees

AI-driven mortgage data platform for underwriting

No salary listed

Remote in USA + 2 more

More locations: California, USA | New York, NY, USA

Remote

Bachelor's

Category
Finance & Banking (1)

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Requirements
  • At least 2 years of experience originating residential or commercial mortgages is required.
  • An active Nationwide Multistate Licensing System license is required.
  • A track record of complying with federal and state lending regulations is required.
  • Deep knowledge of debt-service coverage ratio, bridge, fix-and-flip, and other investor-focused loan products is required.
  • The candidate must be comfortable using artificial intelligence tools, customer relationship management systems, and digital communication platforms.
  • The candidate must be able to build trust with sophisticated investors and first-time landlords.
  • Strong quantitative and analytical ability is required, including the ability to interpret debt-service coverage ratio ratios, capitalization rates, and other real-estate metrics.
Responsibilities
  • Build and grow a retail investor pipeline by prospecting and nurturing relationships with real-estate investors and small-business owners.
  • Maintain a network of referral partners such as realtors and accountants.
  • Use predictive analytics and artificial intelligence tools to qualify borrowers, identify high-potential prospects, and pre-populate applications.
  • Explain debt-service coverage ratio, bridge, and other non-qualified mortgage options and terms to borrowers.
  • Guide borrowers through how qualifying based on property earnings can be advantageous.
  • Build rapport, respond to questions promptly, provide regular updates, and maintain an active pipeline that meets or exceeds production goals.
  • Participate in feedback loops to refine artificial intelligence underwriting and the digital workflow.
Desired Qualifications
  • Debt-service coverage ratio or non-qualified mortgage experience is strongly preferred.
  • A Bachelor's degree in finance, business, real estate, or a related field, or equivalent experience, is preferred.

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 Jobs

Simplify's Take

What believers are saying

  • July 2026 product pages emphasize AI underwriting agents and faster deal execution.
  • May 2026 American Heritage Lending collaboration links Saaf to real lending volume.
  • Saaf reported bootstrapped status in May 2026, preserving ownership and discipline.

What critics are saying

  • PitchBook listed only 14 employees and $1.7 million raised, limiting enterprise sales capacity.
  • Mortgage AI startups face integration friction against ICE Mortgage Technology and Black Knight deployments.
  • By 2027, Saaf risks stalling before national lender scale without external funding.

What makes Saaf Finance unique

  • Saaf Mortgage AI ingests any mortgage package format, creating source-of-truth data.
  • Its 200K-plus loan-package training set targets underwriting, QC, and diligence workflows.
  • MISMO membership and Plaid, Clear Capital, and Inglet Blair integrations widen adoption.

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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%