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. 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.
Requirements
- 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.
- 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.
- 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.
Nice To Haves
- 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.
Responsibilities
- Conduct quantitative research into areas related to alpha generation, ESG, risk management and portfolio construction.
- Involved in research evaluating and working with new data sources and analytic packages.
- Supporting portfolio managers with ad hoc analysis / requests.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Number of Employees
1,001-5,000 employees
