This position follows a hybrid work model, with working 3 days in the Newark, NJ office and 2 days remote.
What you can expect
Contribute to capital deployment strategies by identifying investment opportunities across CLO transactions.
Present and support investment research and relative value analysis to portfolio management teams, influencing portfolio positioning.
Analyze CLO collateral, structural features, and documentation.
Track portfolio positions to evaluate credit risk, rating stability, cash flow performance, and relative value opportunities.
Conduct sensitivity and scenario analysis on CLO investments and automate analytical processes where appropriate.
Assess collateral behavior by integrating bottom-up analysis with macroeconomic and market trends.
Develop, enhance, and maintain analytical tools, models, and data pipelines to support research and portfolio monitoring.
Organize and process data from multiple sources to facilitate surveillance of collateral managers and tranche performance.
Perform ongoing surveillance of CLO portfolios, including monitoring collateral quality, manager behavior, and structural triggers.
Support due diligence on CLO collateral managers, including evaluation of business models, underwriting processes, and performance.
Assist in negotiation and review of structural terms and transaction documentation for new issue CLO investments.
Engage with market participants including collateral managers, rating agencies, trustees, and other investors to develop market insight.
Monitor industry trends, regulatory developments, and macroeconomic conditions impacting CLO markets.
Explore and implement advanced analytical techniques, including automation and natural language processing, to improve research efficiency.
Develop client-facing materials and support presentations for prospective and existing clients.
Requirements
BA/BS degree, preferably in a quantitative field
8+ years experience in fixed income, banking, and/or capital markets
5+ years credit research experience particularly with exposure to CLOs or leveraged loans preferred.
Strong analytical and quantitative skills.
Programming and data visualization skills (e.g., Python, Power BI, Tableau) are preferred.
Experience with Intex and structured finance modeling are required.
Experience developing analytical tools, automating workflows, or working with large datasets is preferred.
Knowledge of CLO structures and underlying leveraged loan collateral; familiarity with loan markets is a plus.
Strong attention to detail and ability to manage multiple assignments in a fast-paced environment.
Excellent communication and presentation skills, with the ability to articulate investment views clearly.
Ability to work independently and collaboratively across teams.
Intellectual curiosity and strong interest in CLOs and leveraged loan markets.
*PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply.
Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The annual base salary range for
Benefits
Vision insuranceRemote work options
Additional Information
Job Classification:
Investment Management - Portfolio Research
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 .
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