Fair Lending Analytics Roundtable

Peer Learning and Best Practice Exchange

The ProSight Fair Lending Analytics (FLA) Risk Roundtable provides FLA professionals and other second- and third-line professionals the opportunity to connect and discuss timely topics in a collaborative peer learning environment. This roundtable offers valuable opportunities to meet with peers, discuss common challenges, and identify best practices that can be leveraged to enhance the value of lending programs while ensuring fair treatment of all customers.

Discussion Focus

Fair lending analytics continues to evolve as regulatory expectations intensify and analytical methodologies advance. This roundtable addresses the full spectrum of FLA challenges, from emerging risks and regulatory requirements to technical analytics approaches and organizational culture considerations. The collaborative format enables candid sharing of implementation experiences, problem-solving techniques, and practical strategies among professionals managing comparable responsibilities across institutions of varying sizes.

Why Attend

A unique feature of ProSight's peer-sharing events is that each agenda is driven by attendee recommendations, ensuring topics are relevant and timely to participants. The roundtable format facilitates open dialogue on common challenges while enabling professionals to learn from peer experiences and acquire practical insights applicable to their own institutions. Participants benefit from problem-solving techniques regardless of institutional size, gaining perspectives on both technical methodologies and programmatic approaches to fair lending analytics.

Key Discussion Areas

While the specific agenda develops based on registered attendee input, suggested topics already received include:

• Emerging FLA Risks: Discussing new and evolving fair lending analytics risks requiring attention

• Regulatory Expectations: Examining updated UDAAP exam manual guidance from CFPB and product priority lists for fair lending testing of non-lending/non-credit products

• Roles and Responsibilities: Clarifying FLA program roles, responsibilities, and organizational positioning

• Culture and Awareness: Improving organizational culture, attitudes, and staff awareness of anti-discriminatory practices and behaviors

• Regression Analysis: Discussing techniques and tactics for conducting effective regression analysis

• Monitoring and Case Management: Exploring compliant monitoring techniques and case management tool implementations

• Predictive Analytics: Sharing best practices in predictive analytics applications for fair lending

• AI/ML Model Testing: Examining AI and machine learning models and disparate impact testing methodologies

• Disparate Impact Testing: Discussing general disparate impact testing approaches beyond AI/ML model contexts

What to Expect

The roundtable features a lead facilitator guiding discussions along with roundtable group conversations that may include small breakout groups delving deeper into issues of specific interest. Participants share information, ask questions, and exchange ideas to broaden knowledge and acquire firm understanding of fair lending analytics issues. The intimate setting ensures meaningful engagement and practical takeaways applicable across diverse institutional contexts.

Who Should Attend

This roundtable is designed for Fair Lending Analytics professionals and other second- and third-line professionals responsible for fair lending oversight, analytics, and compliance within financial institutions.