Portfolio / Projects / Lending Club

Lending Club
Loan Risk Analysis

A deep credit risk and profitability analysis of Lending Club's loan portfolio — uncovering default drivers, geographic risk patterns, borrower profiles, and strategic recommendations for risk-adjusted pricing.

📅 2024 💻 Python · Pandas · Matplotlib 🤖 Machine Learning 🌐 Hugging Face Space
$33.9B Total Portfolio Funded
$4.18B Charged-Off Losses
40% Default Rate (Grade G3)
11pp Income Default Gap
4 Analysis Dimensions

Scope of Analysis

Four Research Dimensions

01
Credit Risk & Default
Default rate by credit grade DTI ratio influence on default Home ownership vs. repayment
02
Profitability & Rates
Avg interest rate by loan purpose Total loss from charged-off loans
03
Customer Profile & Geography
Employment length vs. loan amount States with highest credit risk Annual income: payers vs. non-payers
04
Time Series & Trends
Loan volume evolution year-over-year Loss rate peaks during expansion

Key Findings

What the data revealed

📈

Grading System Accuracy

Default rates climb steadily from 1.62% (A1) to nearly 40% (G3). A critical "risk cliff" sits between Grade D (19%) and Grade E (26%) — a significant shift in borrower stability.

1.62% → 40%

DTI Paradox

The mid-DTI group (20–40) is the riskiest at 14.38% default. High-DTI (>40) is ironically the safest at 7.40% — a selection bias where high-DTI loans only go to borrowers with flawless profiles.

Mid-DTI Riskiest
🏠

Homeownership Signal

Mortgage holders default at 10.31% vs. renters at 13.87% — a 3.5 percentage point gap that represents a major opportunity for risk-adjusted pricing strategies.

3.5pp Gap
💵

Interest Rate Spread

Credit card refinancing carries the lowest rates (11.70%) while Small Business loans carry the highest (15.26%), reflecting the elevated mortality rate of new ventures vs. debt stabilization.

11.7% → 15.26%
💰

Portfolio Losses

$4.18B charged off from $33.9B funded. Loss rates peaked at 18–19% during the aggressive 2014–2015 expansion phase — a cautionary tale of growth-at-all-costs lending.

$4.18B Lost
👔

Income as a Default Predictor

Income is a definitive success predictor. The "Low Salary" group defaults at 23% vs. only 12% for the "Elite" group — an 11-percentage-point gap that should directly inform underwriting criteria.

23% vs 12%
🌎

Geographic Risk

Alabama (AL) and Arkansas (AR) lead in credit risk with 14% default rates. Southern states dominate the top 5 riskiest geographies, signaling a need for region-specific pricing.

AL & AR = 14%
💼

Employment Length Risk

Borrowers with 10+ years of employment hold $12.1B in loans — the anchor of the portfolio. Borrowers with <1 year receive loans similar in size to those with 5 years — a high-risk acquisition pattern.

$12.1B (10yr+)

Live Demo

Hugging Face Space

Explore the interactive application built on top of this analysis, deployed on Hugging Face Spaces.

Full Analysis

Jupyter Notebook

The complete analysis with all code, visualizations, and findings.

📁 Lending_Club_Loan_Project.ipynb