Asset Quality & Model Analyst

The Team

Upstart’s Secured Lending organization is building the first-line risk and control infrastructure that will support the next stage of growth across home equity line of credit, auto direct, and auto indirect dealer products. The team helps ensure secured lending products operate with clear governance, durable controls, high-quality execution, and readiness for bank partner and regulatory review.

Asset Quality & Model Oversight monitors portfolio-wide trends across loan salability, asset quality, and model performance. The team tracks results against investor and bank partner thresholds, interprets model execution patterns across secured lending channels, and escalates systemic findings before they become repurchase events, partner concerns, or examination issues.

As an Analyst, Asset Quality & Model Oversight at Upstart, you will support the day-to-day execution of this function by conducting loan-level reviews, organizing portfolio and model performance data, maintaining tracking tools, documenting findings, and preparing reporting and governance deliverables. You will report to the Senior Manager, Asset Quality & Model Oversight and work closely with Credit Risk, Capital Markets, Model Risk Management, Operations, and other secured lending partners.

How you'll make an impact

• Execute loan-level quality reviews across secured lending originations, assessing documentation completeness, underwriting accuracy, eligibility adherence, collateral quality, and other salability criteria.
• Pull, organize, and analyze portfolio performance data, including early payment defaults, delinquency trends, prepayment rates, loss severity, exception patterns, and other asset quality indicators.
• Maintain recurring asset quality and salability risk reporting packages for bank partners, Capital Markets, and internal leaders, including data pulls, analysis, formatting, and quality checks.
• Execute first-line model performance tracking — maintaining production model tracking tools, logging override and exception trends, tracking version changes, and independently flagging patterns that may indicate performance degradation or out-of-bounds behavior for escalation.
• Maintain issue logs, defect trackers, remediation updates, and documentation libraries so records stay current, organized, and ready for bank partner or regulatory review.
• Drive governance and exam readiness deliverables — independently assembling evidence packages, populating reporting templates, and coordinating materials for bank partner reviews, committee deliverables, and regulatory examinations.

Minimum Qualifications

• 3+ years of experience in financial services, credit operations, quality control, risk management, compliance, model monitoring, loan review, credit analysis, or a related analytical function.
• Experience applying established review criteria to loan-level data, credit files, origination documentation, collateral documentation, or lending operations outputs.
• Experience analyzing portfolio performance, asset quality indicators, credit policy exceptions, loan defects, remediation items, or operational risk trends.
• Experience using Excel, Google Sheets, SQL, business intelligence tools, reporting tools, or similar systems to organize, analyze, and quality-check structured data.
• Experience documenting findings, exceptions, issue status, remediation progress, or review results for risk, compliance, credit, operations, audit, bank partner, or regulatory stakeholders.

Preferred Qualifications

• Experience with loan file review, quality control, pre-sale quality control, investor delivery, or loan salability review in mortgage, home equity, auto, or other secured lending products.
• Knowledge of secured lending and secondary-market quality expectations, including investor eligibility standards, collateral documentation, lien perfection, representations and warranties, defect remediation, trailing performance thresholds, or repurchase risk.
• Experience tracking and interpreting asset quality or portfolio performance indicators such as early payment default, delinquency, prepayment, loss severity, non-performing loan trends, or credit policy exception rates.
• Knowledge of model monitoring concepts, model performance reporting, validation outputs, override and exception tracking, or model governance documentation in a lending or fintech environment.
• Skilled in producing clear review summaries, governance materials, issue logs, reporting packages, and documentation that can support bank partner or regulatory review.