Structured Finance Portfolio Associate

The Portfolio Monitoring Unit (PMU) plays a central role in the ongoing management and oversight of KKR's ABF investments. The team is responsible for performance analytics, transaction modelling, valuation, and strategic optimisation across a growing portfolio of 200+ deals. Operating across a wide range of asset types and industries, the PMU team supports both institutional and insurance-related mandates.

Headquartered in Dublin, with team members in London and Gurugram, the ABF PMU team has grown to 13 investment professionals. As part of the business's strategic expansion, KKR has launched a rapidly growing High Grade ABF platform. This business focuses on public and private ABF investments primarily in the investment grade or near-investment grade space.

We are now hiring an Associate to help manage this portfolio, with an exciting opportunity to contribute to the development of a key strategic initiative at KKR.

Key Responsibilities:

• Proactive monitoring of the performance of public and private ABF transactions, including regular engagement with servicers and originators.
• Preparation of quarterly portfolio reviews and participation in Investment Committee presentations.
• Financial modelling, conducting scenario and sensitivity analyses.
• Maintaining performance data and risk metrics within KKR's internal portfolio management systems.
• Collaborating cross-functionally with Investor Relations, Risk, ESG, and other teams on reporting, investor materials, and ad hoc portfolio requests.
• Coordinating with third-party valuation agents to support valuations of private transactions.
• Identifying underperforming or high-risk assets and supporting trade or repositioning recommendations.

Candidate Profile:

• 3+ years of relevant experience in credit risk, structured finance, ABF/securitisation, transaction services, leasing, restructuring, or a rating agency.
• A proven ability to quickly absorb new information and a commitment to learning new asset classes and analytical tools.
• Direct experience with ABF, structured credit, or secured lending is highly advantageous.
• Familiarity with tools such as Excel, Intex, Bloomberg, Tableau/PowerBI, and FactSet is beneficial.
• A strong academic background, ideally in a quantitative or finance-related discipline.
• Excellent quantitative and analytical skills, attention to detail, and the ability to communicate complex ideas clearly.
• A self-starter mindset, with the ability to thrive in a dynamic, fast-paced environment.
• Solid understanding of financial statements, cash flow modelling, and deal structuring.
• Strong written communication and presentation skills.

#LI-ONSITE