Banking, finance sector layoffs hit NJ, include Prudential and JPMorgan Chase

April 10, 2024

Today in NorthJersey.com, Bloustein School University Professor and Dean Emeritus James Hughes says white-collar jobs in banking and finance have become saturated after a two-year hiring spree that followed the COVID-19 pandemic, which is why some of the state’s largest banks and financial institutions are cutting their workforce. Banks around the world are tightening budgets amid uncertain economic times, and the phenomenon has hit New Jersey.

NorthJersey.com, April 10. 2024

Recent Posts

Dan Kennedy (MCRP ’07): CRE Roadmap for Next Governor

As New Jersey prepares to elect its next governor, NAIOP NJ, the commercial real estate development association, has published a comprehensive roadmap for economic revitalization and sustainable development for the consideration of both candidates for governor. As a...

“Work Trends RU” Podcast with WorkingNation’s Jane Oates

This week's guest on the Heldrich Center's Work Trends RU podcast is Jane Oates, Senior Policy Advisor at WorkingNation. She and Dr. Carl Van Horn discuss WorkingNation’s mission, objectives, and accomplishments; the power of digital storytelling; the challenges of...

Zhang et al. Study Street-View Greenspace and Exercise

GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women Abstract Background Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such...

NJSPL: Some College, No Credential Population in NJ

Overview of the Some College, No Credential Population and Educational Outcomes in New Jersey, 2023–2024 New Jersey State Policy Lab Supporting New Jersey residents in returning to college after leaving without a credential has been an increasing focus of the state’s...

Loh and Noland Explore Public Charging Station Disparities

Equal charging for all: Are there income-based disparities in public charging stations? Abstract We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station...