Welcome to the 2025 CDBA Peer Forum website! Thank you for attending the largest annual gathering of CDFI, MDI, and other mission-focused bank representatives.
Scroll down to create an account or login to register and purchase your tickets!
Advocacy Day and Pre-Conference Cocktail Reception: Tuesday, June 3rd, 2025 Peer Forum Conference: Wednesday, June 4th, 2025 and Thursday, June 5th, 2025 Meeting Location: National Housing Center (NHC) Auditorium at: 1201 15th St NW, 1st floor, Washington, DC 20005 Attire: Business casual for all Peer Forum activities
Hotel Information: The National Housing Center is located in downtown, Washington D.C., within walking distance of a variety of hotels offering rooms at a wide range of price points. We invite you to explore some of the options in our “Hotel Options List.” Please note that CDBA has not arranged a room block at any individual hotels for this event.
If you have any questions or concerns regarding Advocacy Day, please email Joey Zeldin at zeldinj@pcgloanfund.org.
Schedule:
June 3: Advocacy Day & Pre-Conference Cocktail Reception at 5:30 pm ET
June 4: Sessions from 8:00 am to 5:00 pm ET
Cocktail reception at 6:00 pm ET followed by dinner at 7:30 pm ET at Zaytinya
The FDIC encouraged the development of the Mission Driven Bank Fund, and the anchors, Microsoft and Truist, agreed to lead the charge. Elizabeth Park Capital Management, an industry leader in bank stock investing, partnered with Calvert Impact Capital, a leader in impact investing... Read More →
At IntraFi Network, we provide solutions that deliver the flexibility that financial institutions, their customers, and their communities need to thrive in today’s market. We are a trusted partner to nearly 3,000 of the nation’s banks, other financial institutions and most minority... Read More →
FICO (NYSE: FICO) is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction.FICO’s groundbreaking use of Big Data and mathematical algorithms to predict consumer... Read More →