PGIM Multi-Asset Solutions – Vice President, Asset Analytics (Newark, NJ / Hybrid)

Job Classification:

Corporate - Human Resources

A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE
As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world.
We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers!

If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today.
At PGIM, You Can!

What You Will Do

Reporting to the Head of Portfolio Analytics, the VP will have primary responsibility for developing economic models, capital market assumptions, scenario generation, and asset modeling that feed ALM analysis and portfolio construction for PGIM Multi Asset Solutions (PMA) clients. This will include building models to project the future performance of specific asset classes under different economic scenarios—especially, bespoke private and structured assets with less data visibility. It may also include contributing to the development of nimble, asset-focused optimization tools and of our full ALM-based optimization framework.

The position will involve individual contribution at the technical level, leading junior colleagues, and potentially direct management responsibility as PMA’s business grows. It will require developing new models and gaining mastery of existing models within PMA’s analytics platform for multi-asset portfolio optimization, real-world economic simulation, and risk/capital analytics

This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure (3 days in office) where employees can work remotely and/ from the office, as needed, based on demands of specific tasks or personal work preferences. Working from the office is encouraged when working on tasks that require a high degree of collaboration. 

What You Can Expect

• Develop and refine deal-specific economic assumptions for portfolios of ABF, RML, CML, MML and Mezzanine loans

• Build valuation models, or configure 3rd party functionality, for bespoke assets and derivative hedges

• Build dynamical models for spreads and losses associated with public and private assets  

• Calibrate vols and correlations within these dynamical models to historical data

• Devise mapping methodologies to leverage public market data for bespoke asset modeling

• Develop portfolio optimization models incorporating the impact of regulatory capital charges

• Investigate what drives key model outputs like the shape of efficient frontiers and composition of optimal portfolios

• Work with asset specialists to analyze historical loss data for private and structured assets

• Explain model outputs to other quants, portfolio managers, client specialists, and business leaders

• Build attribution models for breaking down portfolio or liability value changes in terms of various risk factors

• Lead junior colleagues on time-critical projects for PMA clients

What You Will Bring

• PhD or Master’s in a quantitative field; especially interested in candidates who have completed (or made substantial progress toward) a PhD in Economics or Finance.

• 5-10+ years’ experience in a quant role within banking, asset management, or insurance

• Experience with structured products, ABF, and other bespoke private assets

• Solid programming background, with a Python emphasis (pandas, numpy, scipy, etc.)

• Reliable knowledge of core quant finance topics: probability theory, canonical stochastic models, fixed income modeling and securitization, options theory, optimization techniques, etc.

• Practitioner’s understanding of why these models were originally defined, how they are actually applied, what their limitations are, and how they could be enhanced or generalized according to business needs

What will set you apart? 

• Technical mastery, experience with bespoke assets, leadership and communication skills, and experience managing quants

• Familiarity with different insurance regulatory regimes, especially Bermuda

PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply. 

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