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KKR invites individuals to submit resumes for future openings in the EMEA region, promoting equal opportunity employment.

Lead controllership and fund accounting for KKR Credit funds, overseeing external administrators, investor reporting, regulatory compliance, valuations, fees, and financial statements. Drive process improvement, strengthen controls, support SOX and consolidation reporting, manage stakeholder relationships, and mentor a high-performing finance team while executing firmwide transformation initiatives.

The role involves fund accounting and operational activities, overseeing partnership accounting, financial reporting, fund operations, and engaging with investors and third-party fund administrators.

Work with KKRs Private Equity Product Strategies team to support fundraising, marketing, and LP engagement. Create and update marketing materials and quarterly presentations, handle technical diligence and bespoke client requests, collaborate with deal teams, and participate in live fundraising and investor communications.

Lead design and delivery of complex Salesforce Financial Services Cloud solutions, drive enhancements, data governance, mobile strategy, security and AI-driven reporting. Mentor junior staff, own deployments, testing, troubleshooting, and collaborate across offshore/onshore teams to support end users and business stakeholders.

Lead configuration, integration, and optimization of the FAST platform: gather requirements, design document indexing, workflows, access controls, accounting configs, SQL reporting, XSLT transformations, and integrations. Own environment promotion, troubleshooting, mentorship, documentation, and platform standards to support production reliability and operational efficiency.

Lead communications strategy for KKR's global insurance and credit businesses; advise senior leaders, manage media and executive communications, handle crisis response, coordinate cross-border messaging, and drive thought leadership and reputational strategy.

Design, build, and operate scalable AWS-based lakehouse data platforms and end-to-end ETL/ELT pipelines using Apache Iceberg, Spark, Glue, and Snowflake. Own orchestration, data modeling, governance, observability, and performance tuning. Integrate diverse sources, ensure data quality and security, contribute to architecture and best practices, and mentor junior engineers to deliver reliable data products for insurance analytics.

Design, build, and operate scalable production data pipelines and lakehouse assets on AWS (Iceberg, Glue, Spark). Manage orchestration, transformations, Snowflake modeling, data governance, monitoring, performance tuning, and mentor junior engineers to deliver reliable analytics products.

Design, build, and operate scalable AWS-based lakehouse and data warehouse pipelines (ingest, transform, orchestrate, govern) using Spark, Iceberg, Glue, and Snowflake. Ensure data quality, lineage, performance, and cost efficiency; integrate varied sources; mentor engineers and contribute to architecture and best practices.