Quantitative Portfolio Analytics Associate

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

Benefits offered by this job

Bonus potential

Health benefits

401(k) match

Pension plan

Wellness program

Education benefits

Employee stock purchase plan

Job summary

PGIM, the global asset management arm of Prudential, seeks a Quantitative Portfolio Analytics professional in Newark, NJ. The role centers on building a state-of-the-art stochastic model library for asset‑liability simulations and live deal applications.

Candidates should have an Economics/Finance Ph.D. or quantitative degree, strong Python (pandas, numpy, scipy), and knowledge of core quant finance topics, with familiarity in transformer models. Hybrid schedule with in-office days is offered.

Qualifications

• Ph.D. in Economics or Finance or related quantitative field.
• Proficient Python with pandas, numpy, scipy.
• Solid grasp of prob theory, statistics, stochastic models, fixed income.

Responsibilities

• Build stochastic models for the real-world scenario generator.
• Develop macro-factor and asset-level models for portfolio simulation.
• Apply AI/quant methods to investment-strategy problems.
• Model strategies across public, private, and structured assets for live and in-force deals.

Skills

Python programming

Transformer models

Education

Economics or Finance Ph.D.

Tools

Transformers

Job description

PGIM, the global asset management arm of Prudential, seeks a Quantitative Portfolio Analytics professional in Newark, NJ. The role centers on building a state-of-the-art stochastic model library for asset‑liability simulations and live deal applications.

Candidates should have an Economics/Finance Ph.D. or quantitative degree, strong Python (pandas, numpy, scipy), and knowledge of core quant finance topics, with familiarity in transformer models. Hybrid schedule with in-office days is offered.