Origination Scores: Say “Yes” to More Credit Applicants
Origination scores add significant value above and beyond the FICO® Score, which is based solely on the data found in a consumer’s credit bureau file.
Most US financial institutions rely on FICO Scores to guide a multitude of decisions made across the lifetime of each customer relationship. And rightfully so, since the FICO® Score is proven to be an accurate indicator of any given customer’s overall risk. That said, banks sometimes neglect other important, adjacent scores that can further improve credit-granting decisions. As a result, financial institutions may be saying ‘no’ to good customers.
Origination Scores Offer Targeted Insight
Origination scores add significant value above and beyond the FICO® Score, which is based solely on the data found in a consumer’s credit bureau file. In comparison, origination scores typically incorporate additional data, such as the information supplied by the consumer at the time of application. Furthermore, origination scores target the population of only those consumers seeking new credit, and the individual risk associated with the new financial obligation, rather than calculating aggregate risk across all of the consumer’s financial obligations.
In short, the origination score is built by honing in on the population looking to obtain new credit, and then looking at the performance of the new debt. There can be nuanced differences in the risk patterns and trends for this population relative to those of the holistic customer (i.e., customers assessed only by their FICO® Score).
Machine Learning Enhances Origination Decisions
Origination scores have always added value to bureau-based score decisions, and FICO continues to innovate in this area. Recently we have realized significant improvements by applying machine learning (ML) to origination scores, primarily utilizing scorecard approximations of stochastic gradient boosted trees. More recently we have been exploring adaptive and self-learning ML technologies. You can read about the scorecard approximations of the stochastic gradient boosted trees methodology and results in my blog on building credit risk models using AI and ML. These improvements have continued to work well in conjunction with the FICO® Score.
Saying no to good customers due to insufficient information translates to a weaker customer relationship, or even the loss of it. Either consequence has a major downstream impact on the profitability and health of your portfolio. Saying ‘yes’ can improve profits and reduce losses, but must be done in a way to limit risk.
The origination score is not a replacement of the FICO® Score; its value is realized by using it together with the FICO® Score. The lift and benefits can be summarized as follows: Prime lenders focus on populations with fair to excellent credit, since applicants with poor to bad credit generally have a high rate of default. Using origination scores, good accounts can be mined from the poor-to-bad credit population, and underwriting strategies refined to approve customers that previously would have been rejected. We can say ‘yes’ to more customers with struggling FICO® Scores.
Saying ‘Yes’ to More Applicants
To illustrate, let’s look at a random sample of one million US installment loan credit seekers from 2011 with a performance evaluation in 2013, a timeframe in which neither the origination score nor the FICO® Score were redeveloped (so as to not overstate the value of either score).
We will assume a simple binary strategy is in use; applicants with FICO® Scores of 650 or above are approved (green) and the rest are rejected (pink). Figure 1 shows what this split looks like in terms of bad rate and population approved vs. declined.

By enhancing the strategy to additionally include the origination score, banks can realize the dual objective of building portfolios numbers while either maintaining or reducing risk. In our sample, applying the use of Application Risk Manager scores led to approving an extra 4% of total applicants, while maintaining the default rate at 1.2%, as illustrated in Figure 2. Assuming an applicant volume of 100,000 applicants, the population accepted would have grown by 3,000 new customers.

Growing your business while managing risk – that’s the laser-like value proposition FICO origination scores offer. To learn more, check our origination blogs. And follow my Twitter feed, which is always rolling with my latest thoughts on analytics and AI.
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FICO® Score High Achievers: Is Age the Only Factor?
<p>FICO’s latest research on <a href="http://www.fico.com/en/blogs/risk-compliance/us-credit-quality-rising-the-beat-goes-on/" target="_blank">national FICO® Score distribution</a> shows that US credit quality continues to trend upwards, with an increasing number of consumers scoring in the highest scores ranges. Given that, we decided it was time to refresh our study on “<a href="http://www.fico.com/en/blogs/risk-compliance/infographic-what-does-a-high-credit-scorer-look-like/" target="_blank">FICO® Score high achievers</a>,” where we examine the credit behavioural profiles of consumers with higher credit scores.</p> <p>As expected, our latest study showed that older people generally have higher scores, as has been the case in our <a href="http://www.fico.com/en/blogs/risk-compliance/age-before-beauty-credit-worthiness-before-youth/" target="_blank">past research</a>. This is largely because they have trade lines that have been open longer, which leads to higher scores (assuming the trade lines are in good standing and all other things equal). The most credit savvy among you will remember that length of credit history accounts for roughly 15% of the overall <a href="http://www.myfico.com/CreditEducation/WhatsInYourScore.aspx" target="_blank">FICO® Score calculation</a>.</p> <p>But for younger consumers, it isn’t too helpful to say, “just wait until you are 50 years old, and that will fix things!” Thus, I decided to dive deeper with our analysis, including looking at the credit behavioural characteristics of younger consumers with high FICO® Scores.</p> <p>In this analysis, I looked at credit characteristics for the two highest score bands, 750-799 and 800-850, which have about 16% and 23% of the population, respectively. I further broke this down by looking at the characteristics of the youngest 15% in each group, which occurs at age 29 for the 750-799 group and 43 for the 800-850. We used FICO<strong>®</strong> Score 9 for our analysis, and examined typical variables of the categories that go into the make-up of the score.</p> <p><a href="http://www.fico.com/en/blogs/wp-content/uploads/2016/10/FICO-Score-High-Achiever-table.png"><img class="alignnone size-full wp-image-29367" src="http://www.fico.com/en/blogs/wp-content/uploads/2016/10/FICO-Score-High-Achiever-table.png" alt="fico-score-high-achiever-table" width="715" height="747" /></a></p> <p>Since there’s a lot to dissect in this chart, I’ll highlight a few findings that struck me: <ul> <li><strong>Credit history.</strong> Higher scores are undoubtedly associated with a longer time on file. What’s striking is the higher average time on file for the 800+ group, both overall and for revolving accounts (the most common trade line). Clearly, it helps to start credit use early in life – but that’s not the sole determining factor for high scoring. The younger cohorts in both the 800+ and 750-799 groups have time on file medians significantly less than their older counterparts.</li> <li><strong>New credit.</strong> High credit scorers do, in fact, pursue new credit. We see little variation in months since last trade line opening and last inquiry among all groups observed.</li> <li><strong>Pay on time.</strong> As you might expect, the further in the past the delinquency, the higher the score – and that’s <u>if</u> a delinquency ever happened. 95% of the 800+ people and 72% of the 750-799 group have never been delinquent, which is a striking contrast to the 57% for the total population. The percentages for the younger groups are even higher, especially so for the 750-799ers. Collection items are also scarce for these high scorers. While 23% of the national population have collection items greater than $99, the figures are only 0.5% for the 800+ group and 3% for the 750-799 group. It is clear that, in conjunction with starting a credit file early, paying on time is a key trait of the FICO® Score high achiever.</li> <li><strong>Balance and utilization.</strong> Finally, we look at how credit is being used, focusing on revolving product use. (Since most people only have one mortgage or one auto loan, variation in instalment product figures is minimal and driven by payment history, which is near perfect for high scorers, as we’ve seen.) FICO® Score high achievers tend to have more open revolving accounts. While the % active trades and utilization are generally lower, by no means do high scorers avoid the use of credit products. What drives the difference here is the amount of <u>available</u> revolving credit utilized. The 800+ group is roughly 1/4 of the national median, both in total and on their highest utilized card; they also have lower balances and more cards<em>. </em>The 750-799 group is more active and higher utilized, but still only at 2/3 of the national figures. The young 750-799 group compensate with lower revolving balances and, as a result, lower utilization, which is in line with what we see for the 800+ group.</li> <li><strong>Benchmarks.</strong> I’d like to point out that while this study provides good benchmarks of the typical credit traits of the FICO® Score high achiever, individual credit profiles will vary widely. And keep in mind that when we sort groups of consumers as a whole by different behaviours, some results may look superficially odd. For example, the 800+ band has a longer median average open account time (128 months) than average revolving months on file (140 months).</li> </ul> So, what do we conclude? A huge takeaway is that high scorers don’t have too much in the way of serious delinquencies and negative public record data.</p> <p>In most respects, the young 800+ people are like their peer group. They really only differ markedly in their shorter credit history and higher non-mortgage balance, both of which are a function of life stage. Our results show that you don’t have to be a credit product hermit; these high scorers have more credit cards. The takeaway is to start credit activity early and maintain well-managed and moderate usage.</p> <p>In many ways, the young 750-799 people are more interesting because their age profile is much younger. Their credit characteristics differ more from their peer group, particularly in terms of length of credit history. They compensate by having almost pristine credit records and lower balances.</p> <p>Ultimately, 39% of US consumers are FICO® Score high achievers, which they accomplish by following common-sense credit practices. It ain’t rocket science!</p>
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