ABF Portfolio Analyst: Structured Finance & Analytics

Careers at KKR; Dublin; On-site; EUR 70,000 - 110,000; Full time

Job summary

KKR is hiring an Analyst/Associate for the ABF PMU team in Dublin. The role focuses on proactive monitoring of public and private ABF investments, performance analytics, and portfolio optimization across 200+ deals.

The candidate will engage with servicers, prepare quarterly reviews, and contribute to Investment Committee materials, with strong emphasis on financial modelling and data accuracy.

Qualifications

• Proven experience in credit risk, structured finance, ABF/securitisation, or related fields.
• Strong ability to learn new asset classes and analytical tools.
• Experience with ABF, structured credit, or secured lending is advantageous.
• Familiarity with Excel, Intex, Bloomberg, Tableau/PowerBI, and FactSet is beneficial.
• Solid understanding of financial statements and cash flow modelling.

Responsibilities

• Proactively monitor performance of ABF transactions; engage with servicers and originators.
• Prepare quarterly portfolio reviews and participate in Investment Committee presentations.
• Perform financial modelling, scenario and sensitivity analyses.
• Maintain performance data and risk metrics in internal systems.
• Collaborate cross-functionally on reporting and investor materials.
• Coordinate with third-party valuation agents for private transactions.
• Identify underperformance or high-risk assets and support repositioning efforts.

Skills

Excel

Intex

Bloomberg

Tableau

PowerBI

FactSet

Financial analysis

Cash flow modelling

ABF knowledge

Education

Finance degree

Tools

Abstract Data Tools

Job description

KKR is hiring an Analyst/Associate for the ABF PMU team in Dublin. The role focuses on proactive monitoring of public and private ABF investments, performance analytics, and portfolio optimization across 200+ deals.

The candidate will engage with servicers, prepare quarterly reviews, and contribute to Investment Committee materials, with strong emphasis on financial modelling and data accuracy.