Teams at KKR

Designs and owns Python backend services, scalable data pipelines, Spark processing workflows, data models, ETL/ELT systems, and data distribution patterns. Manages Terraform-based cloud infrastructure, ensures data quality and observability, leads technical workstreams, performs production root-cause analysis, and mentors junior engineers. Collaborates with product, data, and platform leaders to deliver reliable, scalable solutions.

Supports investment guideline compliance testing and reporting across KKR’s insurance asset classes. Responsibilities include reviewing compliance reports, launching sidecar processes, responding to client inquiries, performing scenario analysis, onboarding pre-trade compliance rules, automating analyses with AI, and ensuring data quality. The role partners with investment teams, portfolio managers, senior management, clients, and internal stakeholders.

Supports monthly, quarterly, and annual investment accounting close processes, reconciliations, financial reporting, analytical reviews, and accounting assessments for diverse investments. Coordinates with cross-functional teams to resolve reporting issues, supports system implementations and testing, documents accounting conclusions and controls, and identifies process automation opportunities. The role also performs ad hoc analyses and assists with process enhancements.