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Director, Portfolio Analytics

PGIM, Inc.

Newark, NJ · HybridFull-time$181K/yrSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$181K/yr
Location
Newark, NJHybrid
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

The Director, Portfolio Analytics will help build, test, and deploy stochastic ALM models, portfolio optimization tools, and risk analytics. The role designs data infrastructure and methodologies for analyzing portfolio risks, tail scenarios, valuation changes, and hedging strategies. It also investigates quantitative and data science methods for investment strategy and collaborates with quant groups on multi-asset strategy construction.

Skills & qualifications

RequiredNice to have

Skills

Quantitative FinanceData SciencePythonProbability TheoryStatistical AnalysisStochastic ModelingOptions ValuationYield Curve ConstructionFixed Income AnalyticsCAPMFinancial Instrument PricingFinancial Simulation

Qualifications

2 Years Related Experience2 Years Quantitative Finance Experience2 Years Data Science Experience2 Years Python Programming ExperienceMaster’s in Quantitative Finance or Related Field

Benefits

Medical Insurance
Dental Insurance
Paid Time Off

Full job description

Experience Required

2 years of related work experience

Minimum Education Required

Master’s degree in Quantitative Finance, or a related field

Compensation

$181,000.00

Hours Per Week

40

Number Of Positions

1

Job Description

Director, Portfolio Analytics (PGIM, Inc., Newark, NJ):

Help build, test, and deploy stochastic ALM models, portfolio optimization tools, and risk analytics. Explain model results in terms of economic drivers, portfolio characteristics, and modeling assumptions. Design infrastructure to organize market, economic, and portfolio data, feed it into models, and analyze model outputs to inform asset allocation and quantify key risks. Develop methodology for analyzing tail scenarios and explaining valuation changes in terms of underlying risk factors. Spot capital market opportunities for tailoring portfolios to clients’ risk-return preferences. Design and optimize derivative-based hedging strategies. Analyze the impact of different capital regimes on asset allocation strategies. Investigate applicability of the latest quantitative methods in ALM/LDI, as well as machine learning and other data science techniques, to real-world investment strategy. Leverage existing models and quantitative capabilities across other quant groups within PGIM, Insurance CIO, and ERM for multi asset strategy construction.

Telecommuting permitted up to 2 days per week.

Full time employment, Monday – Friday, 40 hours per week, $181,000.00 per year. Benefits incl. medical, dental, PTO & more.

MINIMUM REQUIREMENTS:

Master’s degree in Quantitative Finance, or a related field, and 2 years of related work experience.

Must have 2 years of experience in each of the following:

  • Quantitative finance;

  • Data Science; and

  • Programming in Python.

Must have 2 years of experience in each of the following:

  • Applying quantitative finance methods, including probability theory, statistical analysis, stochastic modelling, options valuation, yield curve construction, fixed income analytics, and CAPM; and

  • Coding models for financial instrument pricing and simulation, including bonds, structured credit products, equities, alternatives, life insurance, and annuity contracts.

To Apply: Apply online at "https://pru.us/4yfhrjl". Should you have any difficulty in applying for this position through our website, please contact [email protected] for assistance in the application process.

Place of Work

Hybrid

Requisition ID

R-125188

Job Type

Full Time

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