Mortgage for Underwriters is an intermediate-level course designed for mortgage professionals seeking to excel in today's technology-driven, regulation-heavy underwriting environment. With regulatory changes as the industry's biggest challenge, this course provides essential skills for modern underwriting success. You'll master complex application analysis, from self-employed borrowers to unique property types, while learning to leverage AI-powered tools and predictive analytics that enhance decision-making accuracy. The course covers comprehensive regulatory compliance frameworks, quality control systems, and proactive risk management strategies that reduce default rates while maintaining competitive approval standards. Through hands-on case studies, AI simulations, and real-world scenarios, you'll develop expertise in balancing technological efficiency with human judgment. Whether you're advancing your career or adapting to industry evolution, this course transforms how you approach mortgage underwriting, preparing you for continued success in this dynamic, essential industry.
Profitez d'une croissance illimitée avec un an de Coursera Plus pour 199 $ (régulièrement 399 $). Économisez maintenant.
Expérience recommandée
Compétences que vous acquerrez
- Catégorie : Risk Management
- Catégorie : Machine Learning
- Catégorie : AI Enablement
- Catégorie : Regulatory Requirements
- Catégorie : Quality Control
- Catégorie : Predictive Analytics
- Catégorie : Decision Making
- Catégorie : Lending and Underwriting
- Catégorie : Compliance Management
- Catégorie : Consumer Lending
- Catégorie : Mortgage Loans
- Catégorie : Commercial Lending
- Catégorie : Credit Risk
- Catégorie : Artificial Intelligence
Détails à connaître
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décembre 2025
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Il y a 3 modules dans ce cours
In this foundational lesson, learners will explore the core principles of mortgage underwriting and analyze complex mortgage applications to determine eligibility and risk levels. They'll examine the traditional three C's framework (credit, capacity, collateral) alongside modern technological enhancements, practice application analysis using real-world scenarios, and reflect on how regulatory compliance shapes underwriting decisions in today's market.
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4 vidéos3 lectures1 devoir
This lesson focuses on the technological transformation of mortgage underwriting, teaching learners to apply AI-powered tools and predictive analytics in their decision-making processes. Students will explore machine learning applications, automated risk assessment systems, and real-time data integration while maintaining the human judgment essential for quality underwriting decisions.
Inclus
3 vidéos2 lectures1 devoir
In this final lesson, learners focus on optimizing underwriting practices through comprehensive compliance frameworks and proactive risk management strategies. They'll explore regulatory requirements, quality control systems, and develop approaches to reduce default rates while maintaining competitive approval standards. The lesson culminates in designing a comprehensive underwriting excellence framework.
Inclus
4 vidéos2 lectures3 devoirs
Instructeur
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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¹ Certains travaux de ce cours sont notés par l'IA. Pour ces travaux, vos Données internes seront utilisées conformément à Notification de confidentialité de Coursera.