Data Analyst (Mortgage Tech)

About the Company

Augment Analytics is a fintech business that blends data analytics, proprietary risk intelligence, and Loan Defect Insurance to convert mortgage manufacturing risk into measurable and insurable outcomes for lenders, investors, and RMBS issuers.

As the platform grows and new products are added, the company is hiring an experienced Data Analyst who can make its outputs stand up to external scrutiny by connecting model results with actual loan performance through surveillance reporting, model validation, and deliverables for institutional counterparties.

What You Will Do

• Create surveillance reports such as pool health summaries, delinquency trend reviews, roll-rate analysis, and defect-emergence narratives for institutional counterparties.
• Keep mark-to-market LTV calculations current using live HPI feeds, and surface early warning signals for pools nearing concentration limits or showing weakening collateral values.
• Handle quarterly reinsurer reporting, including claims bordereaux, combined exposure summaries, and performance-versus-pricing-assumption variance analysis.
• Develop and update investor report templates that turn model outputs into clear risk stories for capital markets counterparties.
• Review loan-level files and validate model outputs by comparing defect indicators and risk scores with underlying loan documents to uncover recurring errors or coverage gaps.
• Feed realized loss and recovery-timing data into the company’s claims analytics models to help refine calibration.

What the Role Requires

• Strong practical experience in loan file review, especially the ability to distinguish a genuine defect from a model-generated flag.
• Ability to explain complex analytical results in a way that a reinsurer credit committee can use.
• Comfort working in both Excel and SQL.
• At least 4 years of experience in non-QM loan review, mortgage credit risk, or structured finance analytics.
• Deep knowledge of non-QM loan categories such as DSCR, bank statement, asset depletion, and foreign national.
• Working knowledge of SQL and Excel or Python for analysis and reporting.
• Experience preparing performance reporting and risk narratives for institutional audiences.
• Exposure to converting quantitative model outputs into investor- or counterparty-facing narratives.
• Familiarity with RMBS or whole-loan pool surveillance reporting.
• Experience monitoring mark-to-market LTV using HPI data from CoreLogic, FHFA, or similar sources.

Additional Information

No agencies should apply.

The employer will not provide sponsorship for a new applicant’s work authorization and will not offer immigration-related support for this role, including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or other work authorization types.

Location: United States.