S

Saaf Finance

AI-driven mortgage data platform for underwriting

Loan Officer - Digital DSCR & Business-Purpose Loans

Full-Time
No salary listed
Junior
Bachelor's
Remote in USA+2 moreMore locations: California, USA | New York, NY, USA
Remote
Finance & BankingRetail & Commercial Banking

About the job

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.

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

Get referred to Saaf Finance

See people who can refer or advise you

Simplify Jobs

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.

Help us improve and share your feedback! Did you find this helpful?

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

15%

1 year growth

15%

2 year growth

15%