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PGIM Quantitative Solutions, Sr Investment Associate, Implementation Researcher

Prudential

$150,000 - $170,000
Sep 24, 2025
Newark, NJ, US
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PGIM Quantitative Solutions is seeking a Senior Associate to join their Quantitative Equity Implementation Research team to research, develop, and implement algorithms that drive the firm's quantitative portfolio construction and execution capabilities.

Requirements

  • Proficiency in Python.
  • Strong practical experience with empirical research techniques.
  • Demonstrated ability to manage and analyze large datasets effectively.
  • Familiarity with portfolio optimization techniques and trade cost analysis.
  • Ability to critically evaluate and apply academic and practitioner research.
  • Experience with additional programming languages or tools (e.g., AMPL, CPLEX, GUROBI) is a plus.

Responsibilities

  • Design, maintain, and enhance portfolio optimization models to support equity investment strategies.
  • Research and model transaction costs to improve implementation efficiency and portfolio outcomes.
  • Work closely with trading desk to analyze executions, updates cost models and improve the trading process for client portfolios.
  • Evaluate and integrate academic and practitioner research into portfolio construction and optimization processes.
  • Collaborate with portfolio managers and investment professionals to translate quantitative insights into actionable strategies.
  • Communicate complex quantitative findings clearly to both technical and non-technical stakeholders.
  • Contribute to the continuous improvement of investment processes through innovation and empirical research.

Other

  • Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related STEM field.
  • Relevant experience in quantitative finance, portfolio management, or a related field.
  • Excellent communication skills with a proven ability to explain complex concepts clearly.
  • Self-starter with strong problem-solving skills, creativity, and initiative.
  • Able to work in a team environment while taking individual responsibility for the quality and accuracy of his/her work.
  • Excellent time management skills; work efficiently under the pressure of deadlines.