Quantitative Data Engineer

POSITION SUMMARY

We are seeking a highly skilled and intellectually curious Engineer to enhance our data retrieval, analytical capabilities, and modelling processes for KKR Credit & Markets. This role focuses on leveraging data engineering and analytical techniques to optimize data-driven decision-making and operational workflows. You will play a pivotal role in developing tools, building in-house capabilities, and driving innovations in asset-backed investment analytics and modelling.

The ideal candidate will have an engineering or computer science background, a passion for solving complex problems within a rich business domain, and the ability to drive long-term technical initiatives as part of a global team.

RESPONSIBILITIES

• Design and Build the Data Warehouse
  • Architect and implement a robust in-house data warehouse using data from existing investments and third party data warehouses
  • Ensure scalability, performance, and reliability of the data infrastructure and structure.
  • Collaborate with stakeholders to identify and integrate key data sources and data pipelines.
• Data Governance and Security
  • Establish protocols for data consistency, quality, and security.
  • Implement best practices for data governance and compliance.
• Enable Advanced Analytics and Reporting
  • Develop pipelines to support sophisticated analytical models, visualizations, and business intelligence tools.
  • Collaborate with investment teams to ensure the warehouse meets analytical requirements.
  • Facilitate reporting automation to streamline decision-making processes.
• Long-Term Impact
  • Reduce dependency on external data providers and mitigate licensing risks.
  • Create a scalable foundation for future data initiatives, including advanced forecasting and performance visualization projects.

REQUIREMENTS

• Strong programming skills and experience with database technologies e.g., SQL, Snowflake, Spark or similar.
• Expertise in data pipelines and data integration tools e.g. DBT, Dagster.
• Understanding of data modeling and architecture design.
• Strong problem-solving and critical-thinking abilities.
• Cultural fit - teamwork, proactive/self-starter, results oriented and integrity.

ADDITIONAL BENEFICIAL SKILLS/KNOWLEDGE

• Experience in one or more of bank loans/leveraged loans, fixed-income products, CLOs, derivatives, ABS and CMBS products.
• Working knowledge of Cloud Architecture, Linux, Docker/Kubernetes.
• Familiarity with visualization tools (e.g., Tableau, Power BI) and/or Intex Tools is a plus.

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