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The Associate Data Engineer role is listed with KKR, but the provided description contains only company information and equal-opportunity notices. No specific responsibilities, technologies, qualifications, salary, travel, or clearance requirements are provided.

Supports financial advisors and brokers with retirement product inquiries, sales materials, customized illustrations, and compliant product guidance. Documents interactions in Salesforce, coordinates with field wholesalers, and contributes to sales initiatives and process improvements. The role includes structured training and licensing, with advancement opportunities toward dedicated sales consultant and internal wholesaler positions.

Manages third-party reinsurance for life and annuity products, serving as the primary contact for reinsurers and the reinsurance administrator. Responsibilities include analyzing coverage and retention impacts, overseeing administrator and modeling work, presenting program performance to leadership, providing reinsurance product and system expertise, managing external relationships, and resolving escalated pricing, implementation, and operational issues.

Lead the end-to-end engineering of a new private equity middle- and back-office platform, including its data model, accounting and capital-activity engine, integrations, controls, and legacy migration. Manage and mentor 3–4 senior engineers while remaining hands-on with architecture, production coding, design reviews, testing, and reconciliation logic. Partner with finance, operations, treasury, valuation, tax, compliance, and technology teams to deliver a shared roadmap and improve investment-platform efficiency, accuracy, and auditability.

Sources and engages technology candidates across software engineering, infrastructure, data, cybersecurity, AI, and emerging technology roles. Partners with recruiters and hiring managers to define search strategies, conducts outreach and initial screening, maintains Greenhouse ATS data, and supports market mapping, competitive intelligence, diversity sourcing, messaging, and playbook development. The role requires managing multiple searches independently in a fast-paced remote environment.

Build and deploy AI and LLM-powered tools for KKR’s Insurance business. Partner with investment, actuarial, ALM, finance, and operations teams to identify high-value use cases, automate workflows, develop production-grade applications, and integrate AI with internal data and platforms. Own solutions from discovery through production, adoption, measurement, and scaling while ensuring security and compliance.

Develop, maintain, validate, and enhance insurance liability models supporting pricing, valuation, hedging, asset-liability management, stress testing, and risk oversight. The role models life and annuity products, supports transaction onboarding and product launches, evaluates actuarial and financial model assumptions, and communicates risk insights to technical and non-technical stakeholders. It also contributes to quantitative tools and constructive challenges to existing risk management and pricing practices.

Develop and enhance insurance liability models, perform stresses across GAAP, Stat, Economic, and Bermuda frameworks, onboard institutional transactions, support product launches, validate actuarial and financial models, and build quantitative tools for risk management and pricing decisions. The role also requires communicating technical findings to leadership and stakeholders, with AI integration and strong collaboration across actuarial, market risk, and business teams.

Assist Human Capital Business Partners with daily operations, manage HR systems, support immigration processes, and liaise with various departments to ensure compliance and execute HR initiatives.

Supports insurance segment expense accounting, including accruals, reconciliations, journal entries, fixed assets, leases, financial reporting, budgeting, forecasting, audits, SOX controls, and process improvement across a complex multi-entity environment.