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.