Workshop Title
About This Course
About this Course
In this on-demand course go through the sessions focused around lending strategy from the 6th Annual CULytics Summit where some of the best industry speakers share their wisdom and knowledge around topics like, lending in challenging times and predicting loan chargeoffs.
What you will Learn
What you will learn
- Learn to predict loan charge-offs using Machine Learning
- Understand the perspective on getting on to un-chartered territories as well as fintech.
Workshop Content
PART1
Predicting Charge off using Machine Learning
A breakdown of machine learning models Decision Tree, Random Forest with comparisons to Vintage Models and recursive linear regression for predicting charge off amounts and likelihood of a charge off for a loan. Each model has strengths and weaknesses when used for budgeting for charge-offs or predicting charge-offs. Understanding the concepts behind the models enables you to make better decisions on implementing the correct model for your organizational needs.
Troy Del Valle
VP, Business Intelligence, Hudson Valley Credit UnionTroy is the VP of BI at Hudson Valley Federal Credit Union. He works with his team in enterprise data warehouse projects, workflow process efficiency, strategic decision analysis and predictive analytics.
PART2
Lending in Challenging Times
Sumeet Bhalla and Chuck Smith shares their perspective on getting on to un-chartered territories as well as fintech. Lessons learned, things to keep in mind, dos and don'ts, etc.
Sumeet Bhalla
SVP and Chief Credit Risk Officer, Pentagon Federal Credit UnionSumeet has over 18-years of experience in Financial Services with a focus on transforming corporate strategies, Decision Science, and Digital Transformation. Sumeet is managing risk in PenFed's loan and deposit portfolios through policy management, underwriting, account administration, collections, and loss mitigation. Sumeet is driving growth at PenFed through risk and reward optimization by leading the digital transformation of lending and collection business through data-driven advanced modeling techniques, and transformation of systems and policies.
Chuck Smith
SVP, CLO, Valley Strong Credit UnionFinancial services executive and operationally-focused business partner with 30+ years of industry experience impacting and driving positive business results. Recognized as a leader in technology and innovations. Expertise in consumer, indirect, mortgage and commercial lending, banking, credit analysis, credit cards, and sales management, and an ability to build/develop strong teams, attain standardization and simplification, and work collaboratively.
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