Quant Portfolio Analytics Associate

Prudential Financial; The Ironbound (NJ); Hybrid; USD 135,000 - 145,000; Full time

Benefits offered by this job

401(k) plan with company match (up to

Pension plan

Wellness programs

Education benefit

Job summary

Prudential Financial’s PGIM unit seeks a Senior Quantitative Portfolio Engineer to advance a state-of-the-art optimization platform. You will build models, simulate scenarios, and integrate asset classes across public, private, and structured markets for live deals and in-force business.

Based in Newark, NJ with a hybrid schedule, you will collaborate across teams to translate quantitative ideas into investable strategies and contribute to risk management and research.

Qualifications

• Ph.D. or advanced degree in quantitative field.
• Strong programming in Python with data libraries.
• Solid knowledge of probability, statistics, stochastic processes, yield curve analytics, and CAPM.

Responsibilities

• Build and extend stochastic models for portfolio optimization.
• Develop macro-factor and asset-level models for scenario generation.
• Analyze asset classes with sparse historical data using advanced techniques.
• Attribute changes in asset-liability metrics to risk factors and variables.

Skills

Python programming

Quant finance knowledge

Stochastic modelling

Financial intuition

Education

Ph.D. in Economics/Finance or quantitative discipline

Tools

Pandas

NumPy

SciPy

Transformer models

Foundation models

Job description

Prudential Financial’s PGIM unit seeks a Senior Quantitative Portfolio Engineer to advance a state-of-the-art optimization platform. You will build models, simulate scenarios, and integrate asset classes across public, private, and structured markets for live deals and in-force business.

Based in Newark, NJ with a hybrid schedule, you will collaborate across teams to translate quantitative ideas into investable strategies and contribute to risk management and research.