Associate, Portfolio Analytics | PGIM Strategic Capital Group (Hybrid / Newark, NJ)

About the role

Job Classification: Investment Management - Investments A GLOBAL FIRM WITH A CURIOSITY-DRIVEN CULTURE As the global asset management business of Prudential, we're solving financial challenges for millions of people around the world. To do that we need top talent, which we attract by fostering a truly collaborative culture in which everyone is encouraged to keep asking.

We seek clarity and insight at all stages, from delving into individual security characteristics to understanding our clients' investment goals at the broadest level. If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team at one of the world's leading global asset managers!

What you will do PGIM's Strategic Capital Group (SCG) is responsible for providing institutional clients with asset-liability management, portfolio strategy, and asset allocation solutions harnessing PGIM's multi-asset expertise across public and private credit.

SCG oversees liability-aware portfolio construction and strategic asset design on behalf of its clients, while also partnering with other teams including PGIM Credit and PGIM Real Estate to deliver best-in-class private origination, credit underwriting, investment research, and risk management capabilities across a full range of asset classes.

SCG is the investment manager for Prismic, a reinsurance platform launched by Prudential together with other strategic investors. This position is within the Portfolio Analytics team of SCG and will assume key responsibilities in the growth of our state-of-the-art quant platform for dynamic portfolio optimization based on rigorous asset-liability simulation and economic scenario generation.

You will focus, in particular, on modeling the dynamics of diverse asset classes as well as underlying economic risk factors, which will feed into real portfolio construction projects, both for live deals and in-force business, not just post-allocation diagnostics. You will be based in our Newark, NJ office and will follow a hybrid schedule (3 days in-office).

What you can expect Build stochastic models to enhance and extend our 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 properly model investment strategies across a range of public, private, and structured asset classes for use within our asset-liability simulations What you will bring 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) and exposure to modern transformer technology and foundation models Reliable knowledge of core quant finance topics: probability theory, statistics, stochastic models, options theory, yield curve construction, fixed income analytics, CAPM, etc.-both at the technical level but also conceptually, in terms of basic financial intuitions accessible to non-quants What will set you apart Familiarity with structured products, private credit, real estate debt, and private equity, as well as previous exposure to insurance liabilities and asset-liability management concepts Knowledge about the theoretical foundations of quant finance and about macroeconomic frameworks Creativity, intellectual curiosity, and the ability to break down quantitative ideas for non-quant audiences *PGIM welcomes all applicants, even if you don't meet every requirement.

If your skills align with the role, we encourage you to apply. Note: Prudential is required by state-specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $135,000 to $145,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.

What we offer you: 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).

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers.

Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. To maintain the integrity and security of our hiring process, Prudential may use identity verification technologies. Your consent will be obtained before any verification takes place.

If you need an accommodation to complete the application process, please email. If you are experiencing a technical issue with your application or an assessment, please email to request assistance.