Associate, Portfolio Analytics

PGIM

. Build stochastic models to enhance and extend the proprietary real-world economic scenario generator .

Posted 10/8/2026full-timeNewark • New Jersey • United StatesJuniorMid-Level💰 $135,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building stochastic models and applying quantitative methods to investment strategies, with a strong foundation in economics and finance. Proficient in programming with Python and familiar with advanced techniques for asset-liability management and analysis of emerging asset classes.

Highest-signal resume keywords

Ph.D. In Economics Or FinancePython Programming (Pandas, Numpy, Scipy)Stochastic Models And Probability TheoryQuantitative Finance MethodologiesAsset-Liability Management Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Stochastic ModelsProbability TheoryStatisticsOptions TheoryYield Curve ConstructionFixed Income AnalyticsQuantitative AnalysisDynamic Portfolio OptimizationAI-Based MethodsMacro-Factor Models

Soft Skills

CreativityIntellectual CuriosityCommunication Skills

Tools & Technologies

Quant PlatformEconomic Scenario GeneratorInvestment Strategy Modeling

Industry Keywords

Structured ProductsPrivate CreditReal Estate DebtPrivate EquityInsurance Liabilities

Tech Stack

Tools & technologies

NumpyPandasPython

About the role

Key responsibilities & impact

Build stochastic models to enhance and extend the proprietary real-world economic scenario generator
Contribute to macro-factor and asset-level models that set key parameters within the scenario generator
Develop advanced techniques to analyze emerging asset classes with sparse historical data
Develop methodology and tools for attributing changes in asset-liability metrics to underlying risk factors
Investigate and apply the latest quantitative and AI-based methods to concrete investment-strategy problems
Work with teams across PGIM to model investment strategies across public, private, and structured asset classes for asset-liability simulations
Support the growth of the Portfolio Analytics team’s quant platform for dynamic portfolio optimization based on asset-liability simulation and economic scenario generation

Requirements

What you’ll need

Economics or Finance Ph.D., advanced degree from a quantitative finance program, or comparable academic experience within a quantitative discipline
Solid programming background, including Python (pandas, numpy, scipy)
Exposure to modern transformer technology and foundation models
Reliable knowledge of probability theory, statistics, stochastic models, options theory, yield curve construction, fixed income analytics, CAPM, and related quant finance topics
Familiarity with structured products, private credit, real estate debt, and private equity
Previous exposure to insurance liabilities and asset-liability management concepts
Knowledge about the theoretical foundations of quant finance and macroeconomic frameworks
Creativity, intellectual curiosity, and ability to break down quantitative ideas for non-quant audiences

Benefits

Comp & perks

Market competitive base salaries, with a yearly bonus potential at every level
Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave
401(k) plan with company match (up to 4%)
Company-funded pension plan
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period)