TEAM OVERVIEW

The Investment Lifecycle Product team, part of KKR’s Technology organization, develops technology solutions for clients and KKR teams with the objective to deliver exceptional experiences, enable firm growth, and mitigate firm risks. It collaborates closely with the Investment teams and other Technology teams, as well as Compliance, Enterprise Risk, Finance, Internal Audit, Legal, and Marketing.

POSITION SUMMARY

We are seeking a Director of Product with deep expertise in Asset-Based Finance (ABF), risk management, and data analytics to lead the strategy, roadmap, and development of portfolio management, deal modelling and performance platforms supporting our Global ABF investment business. This individual will be responsible for delivering innovative, data-driven solutions that enable Investment Teams and their partners to make informed decisions across a diverse set of ABF asset classes, including consumer credit (auto, credit card, personal loans), residential mortgages (agency/non-agency RMBS), high-grade structured credit (ABS, CLOs), and non-performing loans (charged-off receivables, distressed real estate, restructured debt).

As a domain expert, the Director will bring strategic vision, strong relationship-building skills, and cross-functional leadership to ensure risk assessment and mitigation are seamlessly embedded into investment processes. This role requires a blend of product ownership, technical fluency, and user understanding—delivering platforms that combine risk measurement, scenario analysis, visualization, and performance insights.

RESPONSIBILITIES

• Global Product Strategy & Roadmap: Define and drive a comprehensive global product strategy and multi-year roadmap for Asset-Based Finance (ABF), ensuring alignment with firm-wide objectives and regional needs. Establish clear OKRs to track progress and impact, continuously refining the roadmap based on stakeholder input, market dynamics, and evolving risk management priorities.
• Strategic Product Leadership: Lead a team of product managers focused on ABF tools and platforms. Provide strategic direction across the entire product lifecycle—from ideation and development through launch and iteration—ensuring product alignment across geographies and consistency in user experience throughout the investment lifecycle.
• Advanced Risk Analytics & Reporting: Spearhead the development of sophisticated risk analytics and real-time reporting tools to support global ABF risk oversight. Define and implement standardized risk metrics and dashboards in partnership with Engineering and external data providers, ensuring high-quality, actionable insights into exposures, mitigation strategies, and investment performance.
• Cross-Functional Collaboration: Foster deep partnerships with global stakeholders—including Investment Teams, Risk, Operations, Legal, and Technology—to align on strategic goals, gather localized requirements, and ensure adoption of scalable, risk-aligned solutions. Promote a unified product vision while accommodating regional regulatory and business nuances.
• Vendor and Partner Management: Lead buy vs. build assessments, select the right partners, and manage ongoing vendor relationships to ensure high-quality product solutions for the firm’s risk management needs.
• Platform-Mindset: Advocate for a platform-based approach that emphasizes interoperability, reusability, and scalability across ABF and adjacent investment verticals. Ensure ABF product architecture integrates seamlessly with broader investment and risk management ecosystems.
• Technology and Company-Wide Contribution: Actively contribute to Technology and company-wide priorities, offering input beyond the immediate product role to support broader company objectives and initiatives.

QUALIFICATIONS

• 10+ years of experience in product management, data analytics, business analysis, asset management, and or software development, with a deep focus on Global Asset-Based Finance (ABF) products. Expertise spans the full spectrum of ABF sub-asset types, including consumer credit (auto loans, credit cards, personal loans), residential mortgages (agency and non-agency RMBS), high-grade structured credit (ABS, CLOs), and non-performing loans (distressed real estate, restructured debt, charged-off receivables). Proven ability to lead product strategy and roadmap execution aligned with firm objectives, balancing innovation with scalable, cost-effective delivery.
• Hands-on experience using Intex to model, analyze, and evaluate structured deals across RMBS, ABS, and CLOs. Proficient in scenario analysis, tranche modeling, waterfall structures, and cash flow forecasting to support product design, risk management, and investment decision-making. Adept at integrating Intex outputs with proprietary risk analytics for a holistic view of exposures across multiple ABF asset classes.
• Deep understanding of unique risk characteristics and performance drivers across ABF segments—from delinquency and prepayment in consumer credit, to default timing and severity modeling in non-performing loan pools. Skilled in developing asset-specific KPIs and dashboards to deliver actionable insights for investment and risk stakeholders.
• Extensive experience working with asset managers, investment professionals, and operations teams to tailor tools for each ABF vertical. Implement structured feedback loops and human-centered design to create intuitive, high-utility solutions that enhance decision-making and operational efficiency.
• Consistently deliver high-quality, scalable products across complex ABF domains while maintaining rigorous standards in performance, usability, and stakeholder alignment. Experience in launching and maintaining tools supporting both primary issuance and secondary trading of structured credit and distressed assets.
• Skilled at translating technical ABF concepts into actionable strategies for cross-functional and senior leadership audiences. Proven ability to drive alignment and execution across Product, Engineering, Risk, and Investment teams globally.
• Work closely with engineering teams to develop scalable architectures supporting structured product workflows. Design and implement data models and workflow automation for asset-specific processes.

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