Data Engineer - Fixed Income Portfolio Management - 18 Month Contract at KKR
KKR · Dublin, Ireland · Onsite
- Professional
- Office in Dublin
COMPANY OVERVIEW
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
About The Team
The Portfolio Monitoring Unit (PMU) oversees KKR’s Asset-Backed Finance (ABF) investments, providing analytics, valuation, and strategic oversight across a portfolio of more than 200 transactions. Headquartered in Dublin, with team members in London and Gurugram, the PMU is expanding in support of KKR’s rapidly growing High Grade ABF platform, which focuses on public and private ABS/ABF investments in the investment grade and near-investment grade space.
We are seeking a Data Engineer to build and maintain the data infrastructure that underpins this platform, ensuring reliable data pipelines, accurate reporting, and high-quality analytical support for the portfolio management team.
Key Responsibilities
- Design, build, and maintain data pipelines and workflows supporting monitoring of public and private ABS transactions.
- Enhance internal portfolio management systems, integrating cashflows and exposure data from FactSet, Intex, and internal risk systems.
- Develop ETL processes and APIs linking Python-based models, Intex outputs, and reporting tools.
- Automate aggregation of key performance metrics, valuations, and risk indicators across multiple data sources.
- Build and maintain dashboards and analytical tools (Power BI / Tableau) for portfolio monitoring and investment reporting.
- Partner with the portfolio management team to deliver data-driven insights on exposures, performance, and risk.
- Maintain robust data governance and validation frameworks to ensure accuracy and consistency across systems.
- Support cross-functional stakeholders (Risk, Finance, Investor Relations, ESG) with data extracts, analytics, and automation solutions.
- Contribute to process improvement and scalability initiatives as the platform grows.
Candidate Profile
- 4+ years of experience in data engineering, analytics, or business intelligence, ideally within financial services, fixed income, or structured finance.
- Strong technical skills in SQL and Python for data engineering, ETL development, and automation.
- Experience building and managing data pipelines across multiple systems and APIs.
- Familiarity with structured credit or ABS datasets (loan tapes, performance data, rating agency feeds, Intex).
- Proficiency with FactSet, Intex, Bloomberg, and Excel preferred.
- Strong experience with data visualization tools (Power BI, Tableau).
- Excellent analytical, problem-solving, and communication skills.
- Degree in computer science, data engineering, or a related quantitative discipline.
- Proactive and detail-oriented, with the ability to operate effectively in a fast-paced investment environment.
What We Offer
- Opportunity to help shape the data infrastructure of a growing High Grade ABS platform within a leading global investment firm.
• Exposure to a wide range of structured finance and asset-backed investments.
• A hands-on, high-impact role working closely with portfolio managers and investment professionals.
• Collaborative international team environment with strong opportunities for career development.
• Competitive compensation and benefits.
#LI-ONSITE
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
