Masters)

PGIM•Newark, NJ

2d•Hybrid

About The Position

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.’ For nearly 50 years and through many market cycles, PGIM Quant Solutions has applied a thoughtful, disciplined, research-driven approach to develop multi-asset solutions to meet various client objectives. For over 20 years PGIM Quant Solutions has been a leader in the development of academically rigorous factor models that have proved their mettle through a wide variety of market and economic environments. A deep understanding of asset class economics is combined with careful analysis of risk and return drivers to deliver exposure to multiple return sources while seeking to manage downside risk. Robust implementation and outcome-based solutions range from total return balanced portfolios to absolute return PGIM Quant Solutions is looking for a research intern who will execute challenging quantitative projects within the GMS team. Examples of topics include design and simulation of quantitative investment strategies, risk modelling, transaction cost modelling and application of machine learning techniques to investments. The candidate may be exposed to any or all of these areas in the development process. This may include collecting global financial data, writing software programs and using existing third-party software. We would expect the candidate to summarize their experience with a report or presentation that describes the results. Academic literature and industry publications will also be available for the intern to explore.

Requirements

MBA, Master’s or PhD student in finance, economics, mathematics, statistics, graduating between December 2026-May 2027.
Strong knowledge of modern financial economic theory (asset pricing, portfolio theory, factor risk models), macroeconomics, and econometrics/statistics
Programming experience with Matlab, Python.
Independent problem-solving ability
Strong teamwork orientation
Ability to effectively communicate ideas to internal user groups.
Flexibility on research on multi asset portfolio needs.
Successful candidates must possess the requisite US employment authorization to be eligible for consideration.