Earnix
Weekly Virtual Sessions

Pricing Analytics and Risk Decisioning
Boot Camp
for Consumer and Auto Lending

September 12, 19, 26, October 3, 10, 17 

2 p.m. UTC+1 / 2 p.m. ET  

The Boot Camp is a virtual crash course in AI-driven pricing analytics and decisioning tools for consumer and auto lenders.

It is designed to help you build a reliable and robust system necessary to improve your lending portfolio performance and ensure your lending strategies are optimized for risk, profitability, and volume.

The current consumer and auto lending landscape is increasingly influenced by high interest rates, heightened margin pressures, and rising loan risk due to increased delinquencies and declining affordability. Additionally, lenders must navigate a complex matrix of consumer behavior and competitive shifts as well as governance and compliance requirements to foster sustainable growth.

This Boot Camp is essential to help you stay ahead

Each episode is packed with practical tips, recommendations and best practices in leveraging AI and machine learning to automate credit decisioning, optimize pricing models, target lower-risk borrowers, and maintain profitability amidst challenging market conditions.

Who should attend

Consumer lending executives, banking and lending professionals involved in financial management, pricing, portfolio management, consumer lending, loan origination, risk and credit decisioning, digital transformation, innovation, data analytics, data science.

Register Now

Six Short Webcasts - 15 Minutes Each - Register Once and Attend All Six

Episode 1. Advanced Pricing Analytics: Scenario Simulation and Optimization

Learn the ins and outs of “what-if” scenario simulation, optimization, and pricing strategies comparison. Understand how a given portfolio of customers would be impacted by a change in price while avoiding lengthy, manual spreadsheet analysis.

Episode 2. Alternative Deal Structures

Discover how presenting data-driven alternatives to prospects in real-time can help you increase conversion, reduce application rejection rate while reducing undue risk exposure when working with low-credit customers.

Episode 3. Price Models Changes and Real-Time Rate Deployment for Business Users

Learn best practices for implementing pricing analytics and optimizations, automated credit decisioning rules, setting up workflows, using data, model management and deployment, as well as performance monitoring.

Episode 4. Incorporating Governance, Audit, and Compliance in Your Pricing and Risk Strategies

Understand how to achieve transparency in AI-based pricing and credit decisioning for audit and compliance. Learn how to incorporate fair analysis in model development and deployment processes. 

Episode 5. End-to-end Pricing and Credit Decisioning Platform

Discover the power of single platform for pricing analytics and credit risk decisioning for complex simulations and integrated forecasting. Understand how these two critical components work together for an impactful lending strategy refinement.

Episode 6. Optimizing for Success: Showing ROI

Learn how to identify opportunities for quick wins while keeping long-term strategies in mind. Understand key components of an efficient implementation, including establishing and tracking KPIs, approaches to data model creation and user adoption.

About Earnix

Earnix is a global provider of real-time, AI-driven dynamic pricing, product personalization, and digital decisioning solutions for financial services industry including consumer lending, auto finance, mortgages, and more. Earnix has been innovating for Insurers and Banks since 2001 with customers in over 30 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel. For more information please visit: earnix.com.