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.

#LI-ONSITE