PGIM: 2026 Quantitative Solutions, Quantitative Equity Research Summer Associate Internship (MBA/Masters)

Job Classification:

Technology - Software Development/Quality Engineering

PGIM: 2026 Quantitative Solutions, Quantitative Equity Research Summer Associate Internship (MBA/Masters)

Location(s):

Newark, NJ (Hybrid)

PGIM Quant Solutions is a pioneer of quantitative investing, providing equity and global multi-asset solutions. Serving investors since 1975, PGIM Quant Solutions targets superior risk-adjusted returns by combining research-driven quantitative processes built on academic, economic and behavioral foundations with discernment from expert market practitioners. PGIM Quant Solutions manages over $100 billion for institutional and retail clients. It is a subsidiary of Prudential Financial.  As a leader in scientifically-based, process-driven active investing, the firm’s research process begins with economically sound hypotheses, which are then tested with empirical data.  All validated insights are included into a process that broadly and systematically applies those insights.

Timeline:

Program Dates: Monday, June 1st, 2026 – Friday, August 7th, 2026

Application Deadline: Friday, February 6th, 2026 (We review applications on a rolling basis and reserve the right to close earlier based on volume or role availability.)

What you can expect:

We are seeking an intern to conduct quantitative research into areas related to alpha generation, ESG, risk management and portfolio construction. The intern can also be involved in research evaluating and working with new data sources and analytic packages. Additional activities could also include supporting portfolio managers with ad hoc analysis / requests.

What you’ll need:

The candidate should have strong technical skills, a passion for investments, possess good quantitative intuition, and the ability to work both independently and part of a team.

Accordingly, the successful candidate will possess the following:

• An advanced degree program (Master’s or PhD) including, but is not limited to, finance, economics, statistics, engineering or computer science, graduating between December 2026-May 2027.
• Programming experience in Python is required, knowledge in SQL and Mongo DB is a plus but not required
• Practical experience applying statistical techniques to large data sets is preferred.
• Experience in Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI) is preferred.
• Knowledge or experience with Graph Theory, Network Analysis and related concepts is desirable but not required.
• Demonstrated initiative, creativity, and problem-solving capabilities.
• Candidates should possess a strong interest in global financial markets.
• Prudential does not provide visa sponsorship for this position. Successful candidates must possess the requisite US employment authorization to be eligible for consideration.

​Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.