Job Classification:Investment Management - Portfolio Research A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making
Employer: Audible, Inc. Title: Strategic Planning & Corporate Development Lead Location: 1 Washington Park, Newark, NJ 07102 and New York, NY Duties: Build cohesive strategic plans to accomplish business objectives, identify specific areas of opportunity through
About BayRock Labs At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML,
Job Classification:Investment Management - Investments PGIM: 2027 Public Credit, Summer Investment Analyst Program (Portfolio Analysis Group) Location(s): Newark, NJ (Hybrid) PGIM is the diversified asset management business of Prudential Financial, Inc. (NYSE: PRU). With $1.3 trillion
Job Classification:Investment Management - Investments PGIM: 2027 Public Credit, Summer Investment Analyst Program (Portfolio Analysis Group) Location(s): Newark, NJ (Hybrid) PGIM is the diversified asset management business of Prudential Financial, Inc. (NYSE: PRU). With $1.3 trillion
Description This role sits at the intersection of Data Management & Governance, enterprise data quality assurance, Responsible AI operations, data architecture, and technology risk management. The position is accountable for making quality and governance requirements executable in the flow
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software