Asset Classes
Personal / unsecured consumer loans
Personal / unsecured consumer loans
Does your product fit here?
Personal unsecured loans are fixed-term installment loans to individual consumers with no collateral. When the borrower defaults, your recovery path is a lawsuit and potential wage garnishment, not repossessing an asset. That simple fact drives everything about how this asset class is underwritten, priced, and structured.
Products that fit here:
- Personal installment loans: Fixed amount, fixed term (24-60 months typical), fixed or floating rate. Used for debt consolidation, home improvement, medical, personal expenses. LendingClub, Upstart, SoFi personal, Prosper.
- Debt consolidation loans: Borrower uses proceeds to pay off credit cards or other revolving debt. Often originated to near-prime borrowers improving their credit profile. Historically lower CDR because the borrower improves their monthly cash flow, but adverse selection risk exists.
- Medical / healthcare installment loans: Patient financing for elective or emergency medical expenses (CareCredit, Proceed Finance, GreenSky/Goldman). Slightly higher moral hazard.
- Home improvement loans (unsecured): GreenSky, LightStream, regional banks. No lien on the property — this distinction from home equity is important. Higher loss severity if the home isn’t pledged.
What does NOT fit here:
- BNPL / point-of-sale: Typically less than 12 months, smaller balance, merchant-tied. See BNPL Receivables.
- Payday / small dollar loans: Less than 30 days term, different regulatory environment, very different economics and investor universe. Specialty asset class.
- Auto (even if your policy doesn’t perfect the lien): If there is a titled vehicle, it’s auto. Capital providers won’t let you recharacterize this.
- Student loans for education purposes: Even if originated as a personal loan, if under a student loan program with school certification, it falls under Student Loans.
Edge cases
ISAs: Not a loan under most state law. See Education and Vocational Receivables.
Peer-to-peer loans: If you own the whole loans (not investor notes), treat as unsecured consumer installment. The underlying product is the same.
Credit builder loans: Secured by a savings deposit held at the lender. Technically secured, loss rates are very low, and the structure is different from standard personal loans.
How lenders will classify you
| Credit Tier | FICO | Advance Rate (Warehouse) | Pricing |
|---|---|---|---|
| Super-prime | 760+ | 85-90% | SOFR + 175-275 bps |
| Prime | 680-759 | 80-88% | SOFR + 225-350 bps |
| Near-prime | 600-679 | 70-80% | SOFR + 300-450 bps |
| Subprime | < 600 | 55-70% | SOFR + 400-600+ bps |
Illustrative pricing. See pricing disclaimer.
Market benchmarks and comps
Performance benchmarks by credit tier
| Metric | Super-Prime (760+) | Prime (680-759) | Near-Prime (600-679) | Subprime (<600) |
|---|---|---|---|---|
| CDR (annualized) | 0.5-1.5% | 2.5-5.0% | 6-12% | 14-25% |
| CNL (life of pool, ~48mo) | 1.5-3.0% | 5-10% | 12-22% | 22-40% |
| CPR (annualized) | 18-30% | 15-25% | 12-20% | 8-15% |
| Loss severity | 90-98% | 90-98% | 90-98% | 90-98% |
| WAL | 1.5-2.5 yrs | 1.5-2.5 yrs | 1.5-2.5 yrs | 1.5-2.0 yrs |
| Net effective yield | 7-11% | 11-16% | 16-24% | 24-36% |
The severity reality
Unlike auto loans where you recover 35-60 cents on the dollar through repossession and auction, unsecured personal loans give you nothing to seize. Real-world net recovery on charged-off personal loans is 5-15 cents on the dollar. For your credit model, assume 90%+ severity. Loss and recovery analysis is essentially: net loss equals CDR times 1.0 on a net basis.
This is why capital structure for personal loans looks so different from auto, even for similar FICO profiles.
Prepayment dynamics
Unsecured personal loans have relatively high CPR due to:
- Debt consolidation borrowers, as their credit improves, often refinance into lower rates
- No prepayment penalty is standard, so payoff is frictionless
- Rate sensitivity: falling rate environments accelerate payoff
High CPR reduces your interest income but also reduces duration risk. For term ABS models, both scenarios must be run: slow CPR at 0.5x your base case (extension) and fast CPR at 2x your base case.
What “good” performance looks like
- Prime portfolio CDR below 3.5% for month 12 cohort performance
- CNL tracking below 8% at month 30 for near-prime
- CPR within +/- 25% of base case
- No vintage-over-vintage deterioration: each cohort at the same seasoning point performing as well or better than prior
Red flag performance benchmarks
- CDR exceeding 1.5x your stated base case at 12 months for any vintage
- 30-59 DPD delinquency rising for 3+ consecutive months without seasonal explanation
- CDR accelerating after plateau: if month 18 CDR starts rising after flattening at month 12, more losses are coming
- Any vintage with month 6 CDR more than 1.5x the prior vintage: early onset is a very bad sign in personal loans
What lenders and investors focus on
1. Credit score and credit bureau data quality
FICO version matters. FICO 8 is the standard. FICO 9 and 10 treat medical debt differently, which can materially affect scores for near-prime borrowers. If you’re using a non-standard FICO version, disclose it and be prepared to demonstrate correlation to outcomes.
Thin file concentration matters. Borrowers with fewer than 5 tradelines have less predictive credit history. Concentration above 15% thin file in your pool is a flag.
If you use proprietary scores or alternative credit models (Upstart, Zest AI), you face a higher bar. Capital providers will require backtesting documentation showing that your model’s predictions correlated with actual default outcomes. “Our model is better” is not sufficient; you need outcome data.
2. Debt-to-income (DTI) at origination
DTI is the most important underwriting variable after credit score. What you’re looking for:
- Prime: DTI below 35% post-funding (including the new loan)
- Near-prime: DTI below 42-45% typical maximum
- Subprime: DTI often above 50% (borrowers are overleveraged by definition); focus on payment-to-income (PTI) instead
Income verification is the key diligence question here. Originators that verify income through pay stubs, tax returns, bank statements, or payroll API outperform those using stated income by 1-3% CDR on average. If you shifted from verified to stated income in any vintage, capital providers will flag it and analyze those loans separately.
3. Purpose distribution and loan use
Purpose affects loss rates more than most originators expect:
| Purpose | Default Risk |
|---|---|
| Debt consolidation | Lower CDR, but adverse selection risk (stressed borrowers buying time) |
| Home improvement | Moderate; borrower has property stake |
| Medical | Higher collection difficulty; moral hazard |
| Wedding / vacation / discretionary | Higher CDR historically |
| Undisclosed / “other” > 30% | Hard to predict; expect questions |
4. Loan term distribution
Shorter terms (24-36 months) have lower absolute loss exposure and faster payoff, but higher monthly payments that can stress lower-income borrowers. Longer terms (60-84 months) lower the payment but increase the probability of default before payoff.
Concentration in 72-84 month terms for near-prime or subprime borrowers is a red flag. These borrowers are taking on very long-term unsecured obligations that significantly increase their total loss exposure if anything goes wrong.
5. Underwriting model and guideline consistency
Has your underwriting model changed in the last 18-24 months? Has the credit box expanded? Watch your vintage approval rate trend: rising approval rates often precede rising default rates by 6-12 months.
Vintage performance consistency is the key test: each cohort should look similar to prior cohorts at the same seasoning point. If more recent vintages look significantly better, investigate why. Is it genuinely better underwriting, or are loans simply too young to have seasoned?
Typical structures used
Warehouse facility
The most common structure for personal loan originators.
- Advance rate: 82-90% super-prime; 75-85% prime; 68-78% near-prime; 55-70% subprime
- Pricing: SOFR + 200-325 bps (super-prime); SOFR + 275-400 bps (prime); SOFR + 350-525 bps (near-prime); SOFR + 450-650 bps (subprime)
- Revolving period: 12-24 months typical
- Facility size: $25M-$500M; $500M+ for scaled originators with multi-year track records
Forward flow
Common for smaller or emerging originators. Capital provider commits to purchase loans on an ongoing basis at an agreed discount rate.
- Pricing: Yield-based; capital provider targets 12-18% net yield for near-prime
- Best for: Originators under $75M/year who want simplicity without facility-level revolving mechanics
Term ABS (144A and public)
Available once you have 3+ years of audited data and a $150M+ annual origination run rate.
- Typical deal size: $200M-$750M
- Agencies: S&P and Moody’s are standard; KBRA for smaller/newer programs
- Major issuers: LendingClub (LCT), SoFi (SOFI Trust), Prosper (PMIT), Avant, Marlette, Best Egg
- Enhancement levels: See Section 6
Whole loan sale
Periodic bulk sale of originated loans to a capital provider. Common in near-prime and subprime. Banks or insurers buy near-prime paper at a discount; specialty buyers purchase subprime. Pricing: par minus 2-5 points for prime, larger discount for subprime.
Asset-class-specific structural features
Seasoning and peak loss window
Personal loans peak in losses at months 10-20 on book. This is faster than student loans (peak at months 6-24 post-grace) and slower than short-duration BNPL.
Capital providers apply seasoning haircuts to loans less than 6 months old in the borrowing base. Advance rates are typically 5-10% lower for new loans vs. seasoned. Some structures exclude loans less than 3 months old entirely. Plan your origination ramp accordingly.
Static pool requirements
Lenders require monthly static pool data going back 12-24 months before extending a warehouse. Format: group all originations by quarter and track monthly CDR, CPR, and cumulative CNL for each cohort.
Rating agencies want more than 500 obligors per vintage cohort for statistical reliability. If your quarterly originations are below that threshold, you may need to group into semi-annual cohorts initially.
Standard eligibility criteria
| Parameter | Prime | Near-Prime | Subprime |
|---|---|---|---|
| Minimum FICO | 580 | 500 | No floor (alt credit) |
| Maximum loan term | 60 months | 72 months | 84 months with DSCR test |
| Maximum DTI post-funding | 45% | 50% | 55% |
| Maximum loan amount | $25K-$40K | $15K-$25K | $5K-$15K |
| Single-state cap | 20-25% | 20-25% | 20-25% |
Servicer obligations
Personal loan servicers do not advance principal or interest on delinquent loans. Collections strategy documentation is required: when do you call (days 1-10)? When do you escalate (days 15-30)? When do you charge off (120-180 DPD is standard)?
Settlement authority must be defined: can the servicer accept less than par? Under what conditions? Without clear settlement authority, loss rates on charged-off loans may be lower than they need to be.
Voluntary prepayment and clean-up call
No prepayment penalty is standard. High CPR is economically negative for term ABS investors (they lose premium) but positive for warehouse (reduces outstanding). Clean-up call at 10% remaining pool balance is standard and relevant given high CPR rates.
Rating agency treatment
S&P approach
Base case from your vintage data (minimum 24 months required). Stress multiples: AAA = 3.5-5.5x base case losses. Super-prime gets lower stress (2.5-3.5x) due to demonstrated borrower resilience. Subprime gets 4.5-6.0x due to lower confidence in performance prediction. Loss severity assumption: 95-100% (no collateral). Both floor and ceiling prepayment scenarios are tested.
Moody’s approach
Builds independent base case using regression on macroeconomic variables. Heavy emphasis on originator financial health and business continuity. Explicit “originator risk” stress: what happens to the portfolio if the originator/servicer fails?
KBRA
Most accessible for emerging originators; will work with 12-18 months of data. Actively rates LendingClub, Avant, and other marketplace lenders. Enhancement levels comparable to S&P.
Typical credit enhancement levels (% of pool)
| Rating | Super-Prime | Prime | Near-Prime | Subprime |
|---|---|---|---|---|
| AAA subordination | 8-15% | 15-22% | 25-35% | 35-50% |
| Total CE (AAA) | 10-18% | 17-26% | 27-40% | 38-55% |
| Reserve account | 0.5-1.0% | 1.0-1.5% | 1.5-2.5% | 2.5-4.0% |
| OC target | 1-2% | 2-4% | 3-6% | 5-8% |
Stress scenarios typically tested
- Base: Your 5-year average performance
- Moderate stress: Unemployment +3%, CDR 2x base
- Severe stress (AAA): Unemployment +6%, CDR 4-5x base, CPR 0.5x base (extension)
- Originator default: Does the portfolio perform adequately with a replacement servicer?
Diligence focus areas
Tape analytics
Required fields: origination date, balance, rate, term, remaining term, loan status, FICO at origination, DTI post-funding, loan purpose, state, income (verified or stated), employment status, income verification method.
The income verification method field is critical and must be disclosed. Originators that shift from verified to stated income show 1.5-3x higher default rates on affected cohorts.
Standard stratification requests: FICO bands, DTI bands, loan term distribution, purpose distribution, state, income band, origination vintage.
Static pool analysis
Group originations by quarter; track monthly CDR, CPR, and CNL. The key diligence test: compare month 12 CDR for the most recent 4 vintages. Are they consistent? If more recent vintages look better, is it genuinely better underwriting, or are loans simply too young to have seasoned?
For near-prime and subprime programs, capital providers want 12-16 quarters (3-4 years) of history to establish a reliable loss curve.
Income verification sample
Capital providers may request a 2-5% sample of loan files for income verification review. They’re checking whether income verification is documented per your stated methodology and whether income amounts are consistent with bank statement data.
Common finding: income overstated by 10-20% due to self-reported data without verification. Request subsequent delinquency rates on those loans to quantify the impact.
Underwriting model diligence
- Request model documentation: what variables are in the underwriting model? How long has it been in production?
- Backtesting: ask the originator to show model performance on a holdout set. Does predicted CDR match actual CDR?
- Model changes: any changes in the last 24 months? How were they validated? Changes that boosted approval rates without offsetting improvements in other variables are concerning.
Servicer and collections operations
Site visits are standard for first facilities. Capital providers focus on collections call infrastructure, agent quality, and loss mitigation tools. Key metrics to request: average contact rate at days 1-30, right-party contact rate, and promise-to-pay conversion rate.
Active participants
Major originators (also ABS issuers)
- Super-prime/prime: SoFi (personal), LightStream (SunTrust/Truist subsidiary), Marcus by Goldman Sachs
- Prime/near-prime marketplace: LendingClub, Prosper, Avant, Marlette (Best Egg), Upgrade
- Near-prime/subprime: Oportun, OppFi, Possible Finance, LoanMart
- AI-driven underwriting: Upstart (FICO + income + education), Zest AI (B2B model for banks)
Banks providing warehouse
- JPMorgan, Goldman Sachs, Citi, Bank of America: Prime and near-prime programs
- Pacific Western (now Western Alliance), Silicon Valley Bank (now First-Citizens): Fintech warehouse historically
- Regions, Truist, KeyBank: Mid-size programs
- Cross River Bank, Celtic Bank, Blue Ridge Bank: Fintech-oriented bank partnerships
Credit funds (warehouse and forward flow)
- Atalaya Capital Management: Very active in consumer unsecured warehouse
- Waterfall Asset Management: Significant consumer unsecured buyer
- Blue Owl Capital, Benefit Street Partners: Larger programs
- Monroe Capital, Victory Park Capital: Near-prime and fintech programs
- i80 Group: Fintech-focused consumer credit
- Community Investment Management (CIM): Near-prime with impact orientation
Insurance capital buyers
Require AA/AAA rated notes. Active buyers of LendingClub, Avant, and Marlette ABS. Principal Life, Protective Life, American National, and Global Atlantic are known buyers.
ABS underwriters
- Barclays, Citi, JPMorgan, Goldman Sachs, BofA: Prime programs
- Academy Securities, Piper Sandler, Regions Capital Markets: Smaller/newer programs
- RBC Capital Markets: Active in LendingClub and marketplace ABS
Law firms
- Issuer counsel: Mayer Brown, Sidley Austin, Orrick, Dechert
- Lender/underwriter counsel: Cadwalader, Latham & Watkins, Katten, Hunton
Red flags
Performance red flags
- CDR exceeding 1.5x your stated base case for the most recent 2 vintages at the same seasoning point
- CNL tracking above 12% at 18 months for any prime or near-prime vintage (should be below 5-7%)
- Increasing 30-59 DPD rolling in consecutive months without macro explanation
- CPR declining significantly (below 10% for prime): borrowers unable or unwilling to pay off, may signal financial stress
- Any single vintage performing materially better than all others: check whether it’s too young, cherry-picked, or reflects an undisclosed guideline change
Originator red flags
- Origination volume growth above 50% year-over-year: aggressive growth almost universally precedes performance deterioration in consumer unsecured
- Approval rate increasing without documented improvement in borrower quality
- Income verification weakening: shift from verified to stated income, or reduction in verification scope
- Customer acquisition cost escalating without portfolio performance improvement
- Regulatory action: CFPB investigation, state AG action, class action relating to origination or servicing practices
- Key credit or risk officer departure in the last 12 months without replacement
- Audited financials showing net losses without a clear path to profitability
Important: The combination of rapid origination growth + approval rate expansion + income verification loosening is the classic pre-deterioration pattern in consumer unsecured. When you see two or three of these together, the losses are likely already in the pipeline, they just haven’t emerged yet.
Structural / concentration red flags
- Single state above 25%: New York (strict usury laws), California (DFPI regulation), or Texas concentration creates regulatory risk
- Single purpose above 50%: performance can be correlated if macro conditions affect that use case
- More than 20% of pool with loan terms above 60 months: long-tenor unsecured paper carries higher severity
- Originator uses bank partnership (rent-a-charter) with an unresolved true lender challenge pending in any jurisdiction