Executive Summary

Horizon Financial Group’s loan portfolio had a 24.29% default rate, roughly double its 12% target. Credit score produced the clearest separation: 49.14% of loans in the 520–599 range defaulted, compared with 11.69% for borrowers scoring 750 or higher.

Default risk also rose sharply when debt-to-income ratio reached 40%, and borrowers with less than two years of employment defaulted substantially more often. Loan purpose showed smaller differences, while defaulted loans were only 2.53% larger on average than non-defaulted loans.

How I analyzed the loans

I loaded the borrower and loan files into MySQL, checked the tables for missing or unusual values, and joined them on borrower_id. The combined analysis contains 601 loans across 500 borrower profiles.

Most questions were answered with grouped SQL queries and CASE statements. Because defaulted is coded as 1 for a default and 0 otherwise, its average directly produces the default rate (neat!):

ROUND(AVG(defaulted) * 100, 2) AS default_rate

Credit score was the clearest risk separator

Default rates declined consistently as credit scores improved. The 750+ group was the only score range below the company’s 12% target.

Horizontal bar chart showing loan default rates declining from 49.1 percent for credit scores 520 to 599 to 11.7 percent for scores 750 and above.
Default rate by credit score range. The dashed line marks the company's 12% target.
Credit score Loans Defaulted loans Default rate
520–599 116 57 49.14%
600–649 93 27 29.03%
650–699 75 21 28.00%
700–749 86 14 16.28%
750+ 231 27 11.69%

Default risk jumped at 40% DTI

The default rate increased from 11.21% in the 30–39.9% DTI group to 23.71% in the 40–49.9% group, then continued rising. Loans below 40% DTI had a combined 12.88% default rate, so 40% is a useful preliminary screening threshold but does not reach the target by itself.

Lollipop chart showing default rates by debt-to-income range, with rates increasing sharply at 40 percent DTI and reaching 36.1 percent for borrowers at 60 percent DTI or higher.
Default rate by debt-to-income range. Open dots are below the preliminary 40% screening threshold; the dashed line marks the company's 12% target.
DTI range Loans Default rate
Under 30% 126 14.29%
30–39.9% 107 11.21%
40–49.9% 97 23.71%
50–59.9% 99 31.31%
60%+ 172 36.05%

Employment length mattered more than employment type

Default rates by employment status were fairly close, ranging from 22.73% for contract workers to 27.69% for part-time workers. Employment length showed a clearer difference.

Employment length Loans Defaulted loans Default rate
Less than 2 years 84 29 34.52%
2 or more years 517 117 22.63%

Borrowers with less than two years of employment defaulted 11.89 percentage points more often than borrowers with longer employment histories.

Purpose and loan size were weaker signals

Wedding loans had the highest purpose-level default rate, followed by home improvement and auto loans. However, every purpose had a default rate above 20%, making purpose less useful than credit score for separating risk.

Loan purpose Loans Default rate
Wedding 56 32.14%
Home Improvement 70 28.57%
Auto Loan 59 27.12%
Medical Expenses — lowest 68 20.59%

Defaulted loans averaged $22,570.55, compared with $22,012.75 for non-defaulted loans (a difference of just 2.53%). Loan amount alone did not meaningfully distinguish risk in this portfolio.

Recommendation

  • Treat scores below 700 as higher risk and require stronger compensating factors; 750+ was the only bucket that met the 12% target on its own.
  • Use 40% DTI as a preliminary maximum, with stricter review as DTI approaches that threshold.
  • Apply additional review when the borrower has less than two years of employment history.
  • Do not use loan purpose or loan amount as standalone rejection rules; their differences were much weaker.

These indicators should be used together rather than as automatic approval or rejection rules.

Limitations

This is an educational portfolio dataset, so the findings demonstrate analytical technique rather than a production-ready lending policy. The analysis identifies associations, not causes. It also uses the supplied defaulted flag, where current and late loans are counted as non-defaulted at the time of the dataset snapshot.

Download

Download the complete SQL analysis (.sql)

Includes the joins, score and DTI buckets, grouped default-rate queries, and written findings.