FICO Score XD 2 and Innovations in Financial Inclusion
A key point that the experts underscored during the Financial Inclusion sessions at LendIt was that expanding financial inclusion is a win-win proposition.
I recently had the opportunity to attend LendIt Fintech USA, a leading event discussing financial services innovation. Some of the top thought leaders in banking, finance, artificial intelligence, machine learning, and credit risk came together in San Francisco to discuss the key trends and innovations in our industry. The FICO team was excited to lead the Financial Inclusion track that focused on how to responsibly expand credit access to previously unscorable consumers. In addition, we explored the power of tapping into alternative data in credit scoring in markets across the globe.
A key point that the experts underscored during the Financial Inclusion sessions at LendIt was that expanding financial inclusion is a win-win proposition. Consumers benefit through more affordable borrowing options, while lenders benefit by growing their customer base. At a macroeconomic level, broader financial inclusion can benefit entire countries through the economic growth that greater access to credit can help achieve. With an estimated 2 billion unbanked consumers globally and another 1.3 billion with access to a bank but without a credit file, the challenge is sizeable.
It’s also a challenge that FICO is in a unique position to address and at scale.

A key driver of successful financial inclusion is the ability for lenders to effectively gauge the risk of an underserved consumer. In many cases, consumers that currently lack access to credit can be credit risks. The challenge is identifying those with the financial wherewithal to pay their debts, but who lack experience with banks and therefore have not yet had the chance to demonstrate good credit behavior. Financial inclusion is accelerated when lenders can adequately measure the default risk of those seeking credit for the first time, or those who have gone an extended period of time not using credit. FICO has explored, and continues to investigate, a variety of different data sources and analytic techniques that help lenders approve credit for those that would typically be denied by mainstream banks due to a lack of credit history.
While challenges of achieving financial inclusion exist globally, they can take a different form in a developed country such as the U.S. FICO estimates that a FICO® Score based on traditional credit file data can be generated for roughly 91% of consumers that are actively applying for credit in the U.S. This is a reflection of a strong banking system and a mature credit reporting system. But this still leaves millions of consumers seeking an on-ramp to mainstream banking hindered by a lack of demonstrated credit history, and by extension, a traditional credit score.
One option to expanding the scorable population is to reduce the minimum scoring criteria required by the FICO® Score. However, our analysis shows that if we would attempt do so, several issues would start to emerge. With respect to credit files that are too stale (i.e. have not been updated in 6 months and in many cases for several years) to score we see that many have voluntarily stopped using credit. Scoring these millions of “credit retired” consumers, whose average age is about 70, might increase scorable rates but very few are actually seeking credit. Focusing on this population doesn’t really address the financial inclusion issue and can distort the promise of extending credit to those seeking it. The other significant segment identified amongst consumers with stale credit files are those that have previously run into financial distress and lost credit access. We see that these consumers have files frozen in time and by definition have poor credit histories. Focusing on these consumers’ stale traditional credit files alone won’t help them find a path back to financial inclusion.
The better option to reliably score more consumers is to leverage data sources not found in a traditional credit file at the credit bureaus.
FICO® Score XD - Expanding Access to Credit
To this end, FICO undertook research to meaningfully extend our ability to score more consumers that are seeking financial inclusion. With FICO® Score XD in the U.S., we found that leveraging the Fair Credit Reporting Act (FCRA) compliant “alternative data”– data that resides outside of traditional credit files– could effectively address a large segment of the unscorable population, producing a reliable and accurate credit assessment for lenders to use in underwriting this credit underserved population. This includes not just those with stale files but those with sparse or no traditional credit histories as well. Examples of those with sparse or no credit histories include young adults just beginning their credit journey, as well as immigrants striving for the American Dream. Teaming with Equifax and LexisNexis, we launched FICO® Score XD which considers alternative data such bill payment data (from a database of telecommunication, cable and other payments), and select public records data, in addition to whatever traditional credit file data exists, in order to provide a robust assessment of credit risk on many previously unscored consumers.
Through continued innovation we have been able to refine our use of these alternative data sources and score even more previously unscored consumers. With the release of the second version of FICO® Score XD we are now able to score over 26.5 million consumers that were previously unscorable. It’s a significant step toward broader financial inclusion in the U.S. and includes learnings that we intend to utilize across the globe via our FICO® Financial Inclusion initiative.
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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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