PGIM - Director, Investment Risk

Investment Risk Professional

PGIM Credit is a leading $1.2 trillion global asset manager spanning public and private credit markets. Our Investment Risk Management team plays a critical role in overseeing risk positioning across more than 600 client portfolios, partnering closely with investment professionals to deliver disciplined, data-driven decision-making.

As part of a highly collaborative and technically sophisticated team, you will work at the intersection of portfolio management, trading, and quantitative analytics. The group is responsible for shaping and monitoring risk budgets, advising on portfolio positioning, and continuously enhancing PGIM Credit's proprietary risk platform. This is a unique opportunity to contribute to a best-in-class risk framework within a dynamic and team-oriented environment.

We are seeking a strategic and detail-oriented Investment Risk professional who thrives in a fast-paced setting and is passionate about applying quantitative insights to real-world portfolio management challenges.

This is a hybrid role based in Newark, NJ, where the team is working on-site 3 times a week.

What you can expect:

• Provide independent support to all aspects of the risk management function, including daily oversight of portfolio risk positioning, engagement with portfolio managers to address risk issues, review and sign-off of risk-related elements of client guidelines, risk budgeting, addressing client inquiries, and responding to ad-hoc internal and external requests for risk analysis.
• Attend and participate in internal portfolio management and strategy review meetings to represent the risk management function and stay current on market developments, sector views and trading strategies.
• Contribute to the analysis of risk drivers, performance attribution, scenario analysis, and portfolio construction.
• Engage in asset allocation and risk optimization analysis to support product development initiatives.
• Assist in reviewing the risk-related elements of client guidelines to identify constraints that will influence portfolio construction, internal alpha targets, and risk budgets. Coordinate with client advisors to negotiate acceptable resolutions.
• Partner with Quantitative Modeling and Strategies (QMS) and the systems group to design, test, implement, and document enhancements to our proprietary internal risk analytics and systems. Communicate the impact of proposed changes on portfolio risk to the affected trading desks.
• Coordinate with associates in Investment Risk and QMS to prepare responses to due diligence questionnaires, requests for proposals, and ad-hoc inquiries from clients and prospects related to our Investment Risk Management Framework.
• Support the team with client and portfolio onboarding and ongoing account maintenance, coordinating as needed with Client Advisors, Client Onboarding, Compliance, Portfolio Analysts, and Portfolio Managers.
• Meet with clients and prospective clients to present our internal risk management framework and answer questions related to PGIM Credit's risk management philosophy.
• Prepare documentation and presentation materials for internal and client use that explain various aspects of our proprietary risk framework and analytics.

What you will bring:

• Minimum of 7 years of relevant experience, ideally in investment risk, portfolio analytics, or fixed income investing, with direct exposure to portfolio construction, positioning, and risk management
• Bachelor's degree, preferably with concentration(s) in Finance, Economics, Mathematics, Business, Data Analytics or Engineering.
• Demonstrated competence with statistical, quantitative and technical aspects of fixed income markets.
• Experience with at least three relevant Fixed Income asset classes, including but not limited to: interest rate products, futures, FX derivatives, Government debt, Investment Grade Corporates, High Yield, Bank Loans, Emerging Markets, Structured Products, and Private Credit.
• Extensive experience with MS Excel, Python, SQL and other data analysis or modeling tools with the ability to work effectively with large datasets.
• Clear, professional communication skills, including strong listening,…