{"id":2611,"date":"2025-02-21T15:56:57","date_gmt":"2025-02-21T08:56:57","guid":{"rendered":"https:\/\/mintea.blog\/?p=2611"},"modified":"2025-02-21T16:01:00","modified_gmt":"2025-02-21T09:01:00","slug":"2611","status":"publish","type":"post","link":"https:\/\/mintea.blog\/?p=2611","title":{"rendered":"How the Model Validation Process at Banks Can Drive Business Impact??"},"content":{"rendered":"<h3><span style=\"color: #000000;\">\ud83d\udd39 How the Model Validation Process at Banks Can Drive Business Impact??<\/span><\/h3>\n<p>Link:\u00a0<a href=\"https:\/\/www.linkedin.com\/embed\/feed\/update\/urn:li:share:7291489903228436480\">https:\/\/www.linkedin.com\/embed\/feed\/update\/urn:li:share:7291489903228436480<\/a><br \/>\n<span style=\"color: #000000;\">Model validation isn\u2019t just compliance\u2014it directly impacts revenue, risk, and decision-making. As a risk model validator, I usually experience the confused eyes from stackholders when trying to explain them technical terms related to statistics, data mining, or even coding. In order to have common language with business units and increase the impact of validation function, it\u2019s more convenient to instead of focusing only on PSI, AUC, or KS, we must connect its insights to financial impact.<\/span><\/p>\n<p><span style=\"color: #000000;\">\ud83d\udd39 1. Convert Metrics into Business Language<\/span><\/p>\n<p><span style=\"color: #000000;\">&#8211; Instead of: \u201cPSI increased by 0.2, indicating data drift.\u201d<\/span><br \/>\n<span style=\"color: #000000;\">&#8211; Say this: \u201cIf not fixed, misclassification may cost $20M in lost revenue per year.\u201d<\/span><\/p>\n<p><span style=\"color: #000000;\">Why? Business leaders care about profits and risk exposure, not technical numbers.<\/span><\/p>\n<p><span style=\"color: #000000;\">\ud83d\udd39 2. Align Validation with Revenue Growth<\/span><\/p>\n<p><span style=\"color: #000000;\">&#8211; Before: Validation was just a model check.<\/span><br \/>\n<span style=\"color: #000000;\">&#8211; Now: It optimizes approvals, reduces risk, and increases revenue.<\/span><\/p>\n<p><span style=\"color: #000000;\">Example: Adjusting thresholds helped approve 5,000 more customers monthly, unlocking $100M in additional loans.<\/span><\/p>\n<p><span style=\"color: #000000;\">\ud83d\udd39 3. Use Insights to Guide Strategy<\/span><\/p>\n<p><span style=\"color: #000000;\">&#8211; Don\u2019t just report issues\u2014propose solutions.<\/span><\/p>\n<p><span style=\"color: #000000;\">Example: Instead of just saying \u201cAUC dropped from 0.85 to 0.78,\u201d explain:<\/span><br \/>\n<span style=\"color: #000000;\">\u201cThe model\u2019s predictive power fell 8%, which could increase credit losses by $30M. We recommend retraining with updated macroeconomic variables.\u201d<\/span><\/p>\n<p><span style=\"color: #000000;\">\ud83d\udd39 4. Make Validation a Strategic Function<\/span><\/p>\n<p><span style=\"color: #000000;\">&#8211; Shift from: \u201cValidation ensures compliance.\u201d<\/span><br \/>\n<span style=\"color: #000000;\">&#8211; To: \u201cValidation drives revenue and risk strategy.\u201d<\/span><\/p>\n<p><span style=\"color: #000000;\">\ud83d\udccc Key Actions:<\/span><br \/>\n<span style=\"color: #000000;\">\u2714 Present validation impact in financial terms.<\/span><br \/>\n<span style=\"color: #000000;\">\u2714 Integrate insights into business &amp; executive reviews.<\/span><br \/>\n<span style=\"color: #000000;\">\u2714 Suggest alternative strategies to improve risk-reward balance.<\/span><\/p>\n<p><span style=\"color: #000000;\">\ud83d\udca1 Key Takeaway:<\/span><\/p>\n<p><span style=\"color: #000000;\">When validation links to business impact, it shifts from a technical task to a strategic growth driver and make the validation function become more valuable to banks\u2019 goals. \ud83d\ude80<\/span><\/p>\n<p><span style=\"color: #000000;\">\ud83d\udd3d How does your team integrate validation with business? <\/span><br \/>\n<span style=\"color: #000000;\">#ModelValidation #RiskManagement #BusinessImpact #creditscoringmodels #statisticalmodels #machinelearning<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #000000;\">Jayan Madusanka<\/span><br \/>\n<span style=\"color: #000000;\">Senior Assistant Manager @ Commercial Bank of Ceylon PLC | Banker | Business Analytics | AI &amp; Data Science | Analytics Engineering | Credit Risk Modeling<\/span><br \/>\n<span style=\"color: #000000;\">Denise Nguyen Agreed \ud83d\udcaf. The business users \/ underwriters don&#8217;t understand the technical jargons. They are merely worried about whether these models outperform the human lending decision, what the improvement for TAT, how accurate the decision made by the model, etc. Meanwhile the Risk officers are concerned about the portfolio health and impact of the existing credit policies. Mostly the underlying dataset has class imbalance due to the prudent lending practises. What are your thoughts to overcome that?<\/span><\/p>\n<p><span style=\"color: #000000;\">Reply<\/span><\/p>\n<p><span style=\"color: #000000;\">Denise Nguyen<\/span><br \/>\n<span style=\"color: #000000;\">Author<\/span><br \/>\n<span style=\"color: #000000;\">Jayan Madusanka changing bad flag to smaller dpd, using other criterion to define bad such as re-structured loan, written-off loan. I used to train models with 3.5% by LogReg and it still had gini over 50%.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udd39 How the Model Validation Process at Banks Can Drive Business Impact?? Link:\u00a0https:\/\/www.linkedin.com\/embed\/feed\/update\/urn:li:share:7291489903228436480 Model validation isn\u2019t just compliance\u2014it directly impacts revenue, risk, and decision-making. As a risk model validator, I usually experience the confused eyes from stackholders when trying to explain them technical terms related to statistics, data mining, or even coding. In order to &hellip; <a href=\"https:\/\/mintea.blog\/?p=2611\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">How the Model Validation Process at Banks Can Drive Business Impact??<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[106],"tags":[37,42,52,107,98,41],"class_list":["post-2611","post","type-post","status-publish","format-standard","hentry","category-posts","tag-banking","tag-credit-risk","tag-machine-learning","tag-model-validator","tag-modeling","tag-risk"],"_links":{"self":[{"href":"https:\/\/mintea.blog\/index.php?rest_route=\/wp\/v2\/posts\/2611","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mintea.blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mintea.blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mintea.blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mintea.blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2611"}],"version-history":[{"count":5,"href":"https:\/\/mintea.blog\/index.php?rest_route=\/wp\/v2\/posts\/2611\/revisions"}],"predecessor-version":[{"id":2616,"href":"https:\/\/mintea.blog\/index.php?rest_route=\/wp\/v2\/posts\/2611\/revisions\/2616"}],"wp:attachment":[{"href":"https:\/\/mintea.blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2611"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mintea.blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2611"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mintea.blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}